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Paper Citation Record · LEDGER

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent

As of 14 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2608.10579.

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

pith.paper-citation-record.v1
2608.10579 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T21:35:51.784269Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+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

42 of 42 outbound references displayed

  • verified exact4
  • verified fuzzy8
  • unresolved29
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0f11da65-a1b3-4602-83e9-7ffae5658fb5 · outbound

This paper cites From Quantity to Quality: Boosting.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent From Quantity to Quality: Boosting

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.599192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.599192Z digest=sha256:d0aba7238e983770ba34f02df2e6e23581ea561c48569ff07b36c398023ea0a0

Observation be9a8d9b-6a20-46c6-82b8-4e0c779331a8 · outbound

This paper cites Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning , booktitle =

Reference 2

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unresolved
no resolver link, observed 2026-08-12T21:35:51.605911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.605911Z digest=sha256:c5d19759b2de1b941355fc9aa99d58ca9c1040ebf3fbb7a9806b8e796518ca40

Observation 0bfc0120-aef3-4d5a-a3f4-5326625ea4a8 · outbound

This paper cites Findings of the Association for Computational Linguistics,.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Findings of the Association for Computational Linguistics,

Reference 3

Resolution
verified exact
doi, observed 2026-08-12T21:35:52.101128Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.610625Z digest=sha256:03d6ae791dde499da6fc354ccf5abba0ddb54adad3e9d7e2b8da0dfc45e0fb11

Observation a1ed338f-2adf-4272-82f8-6a550258b3d8 · outbound

This paper cites Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Select2Reason: Efficient Instruction-Tuning Data Selection for Long-CoT Reasoning , booktitle =

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.487512Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.615294Z digest=sha256:cf338c9fe668b2e6ddfda2b46e15e428fc078f556f24aa9f0d982c9766335fcc

Observation 04c442a0-2f1c-4ed6-a12e-ed0531a736c6 · outbound

This paper cites Wong and Dongfang Li and Ziyi Wang and Baotian Hu and Min Zhang , editor =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Wong and Dongfang Li and Ziyi Wang and Baotian Hu and Min Zhang , editor =

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.473612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.619693Z digest=sha256:4a1e3fc2489d10cd624619a15235d7476651dc866d3e43fd75d6021a3e8f16de

Observation 86128ab1-d47e-4571-a347-918baddfb4ec · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent The Twelfth International Conference on Learning Representations,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.459899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.624097Z digest=sha256:bc9140b3d3963724e2c30ff99fdd2e478f11ad550228254cfb68a9e55696ded5

Observation 814c5d7f-c5b5-4d33-b3ce-49863930e72e · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent The Twelfth International Conference on Learning Representations,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.443935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.629036Z digest=sha256:7ae1ea64b7d23d4ba7c93d7a1b53e08c93b01ed5a03e6632e61867ac23edbf62

Observation 98c94479-f517-434b-a20e-897944ab21e0 · outbound

This paper cites The Twelfth International Conference on Learning Representations,.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent The Twelfth International Conference on Learning Representations,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.430124Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.633281Z digest=sha256:72fa3e070e40aa650eaa5c7e21e481cd0a8d184f2968fccc23a9192124cce023

Observation 22f4cb1d-a886-4af5-ba9c-481d19dc03f4 · outbound

This paper cites Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Clustering and Ranking: Diversity-preserved Instruction Selection through Expert-aligned Quality Estimation , booktitle =

Reference 9

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unresolved
no resolver link, observed 2026-08-12T21:35:51.637384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.637384Z digest=sha256:d98f446f9afde9d9cb7684331f0c7e7c16d3e0e0a4aed16efd7f9a759ec4f9ea

Observation ad7f83ea-a5d1-45fd-b644-dc9c15e01aa0 · outbound

This paper cites MoDS: Model-oriented Data Selection for Instruction Tuning.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent MoDS: Model-oriented Data Selection for Instruction Tuning

Reference 10

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unresolved
no resolver link, observed 2026-08-12T21:35:51.641969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.641969Z digest=sha256:31afb0d2f997b2f5d9f4de6064c741befd6dc1b83d409321584a8478c39df144

Observation 9ae12d72-ebda-4805-9f22-fb5d795b8f8d · outbound

This paper cites Instruction Mining: Instruction Data Selection for Tuning Large Language Models.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 11

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unresolved
no resolver link, observed 2026-08-12T21:35:51.646640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.646640Z digest=sha256:8d7e7380a0e12a68b02d39f639edb05ea79d258b7e91f97bc31b4e055b536e17

Observation ef4cfa7b-9e74-468a-be16-f36d3cd94e89 · outbound

This paper cites Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Proceedings of the Thirty-Fourth International Joint Conference on Artificial Intelligence,

Reference 12

Resolution
verified exact
doi, observed 2026-08-12T21:35:52.050571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.651180Z digest=sha256:07ec259753d6ff81154e8738d36eb2e315d72d4058013f3c6b4ffe3ba80f8fd8

Observation e777027c-4e10-4cac-9ab2-724960b0f8c5 · outbound

This paper cites an unresolved cited work.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Unresolved cited work

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.655691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.655691Z digest=sha256:e182ff03097a8250adeb99ec108329457eb051439e35b2e25ae5ebc6d027b696

Observation 72951c21-8098-4e52-935a-7dc91724ed37 · outbound

This paper cites ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent ResoFilter: Fine-grained Synthetic Data Filtering for Large Language Models through Data-Parameter Resonance Analysis , booktitle =

Reference 14

Resolution
verified exact
doi, observed 2026-08-12T21:35:52.035872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.659904Z digest=sha256:dfca5d240214511aca52317e81600a6fcf8b5e679a9678d0e6feddb7cf3a1711

Observation 3a11ad49-fc20-475a-bbf0-13830c50c890 · outbound

This paper cites HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMs

Reference 15

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unresolved
no resolver link, observed 2026-08-12T21:35:51.664197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.664197Z digest=sha256:52f7cefd811416cac72e0ca92aa1289ef16e282a87d111712f64f0775cdd3548

Observation bee9a87f-097b-48b8-928c-efb56cfbaa03 · outbound

This paper cites UltraMedical: Building Specialized Generalists in Biomedicine , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent UltraMedical: Building Specialized Generalists in Biomedicine , booktitle =

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.406795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.669062Z digest=sha256:bce9b9003eeaf3e9ae85ba887c3e5fef02ba5d3258cf3c9ccc19df972a2a39ff

Observation 384c16f6-d178-43cc-b2b7-11eb755ed4cb · outbound

This paper cites SelfCodeAlign: Self-Alignment for Code Generation , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent SelfCodeAlign: Self-Alignment for Code Generation , booktitle =

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.393404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.673248Z digest=sha256:d525ba24c9d90cc79d8a3bbf7263b71dd407b593cd6b0e1ac427066bd7ec692d

Observation de9b4de5-b0da-4295-a960-398bb81d4f26 · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.677628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.677628Z digest=sha256:da8c01a46fd2a1b75385b5769182fdb4e553095677aeb2f49a9ab19a3d39b03e

Observation ec3ee997-aaa1-4ef5-b407-4c4b7b49e411 · outbound

This paper cites Qwen2.5 Technical Report.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Qwen2.5 Technical Report

Reference 19

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unresolved
no resolver link, observed 2026-08-12T21:35:51.682383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.682383Z digest=sha256:b0a83bf7dc8e6482d8551f284a2e4f17cc621852d87ff937a32767bc8a30c92b

Observation 7fba3e75-434d-4760-a0c9-9ac23ebd1b2a · outbound

This paper cites The Llama 3 Herd of Models.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent The Llama 3 Herd of Models

Reference 20

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unresolved
no resolver link, observed 2026-08-12T21:35:51.687021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.687021Z digest=sha256:232bd5704acc0a61c20f059b02d6d1901ce81afdd56cacaa0b566c65dedac507

Observation abc63c5f-5e35-4d2e-a117-7a8df0a7f707 · outbound

This paper cites Olmo 3.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Olmo 3

Reference 21

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no resolver link, observed 2026-08-12T21:35:51.691902Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.691902Z digest=sha256:259a45d8afc373b4b1aa3a4f44a825e1fd481f05a8b58c25514e18c6dd744997

Observation 7f176696-3681-492d-9460-48e8e57affe1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Training Verifiers to Solve Math Word Problems

Reference 22

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unresolved
no resolver link, observed 2026-08-12T21:35:51.696814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.696814Z digest=sha256:24700bb9161758b968b48d7f84aecf1e6e241103ea9f7b62f3c4075c1c9a757a

Observation b3d50882-1ab0-4557-b5a9-2e622f11e67d · outbound

This paper cites Measuring Mathematical Problem Solving With the.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Measuring Mathematical Problem Solving With the

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.701055Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.701055Z digest=sha256:e357fa9e7ff1133104e2493eefde0378103573a0cb187f693edf57959493d3fa

Observation 10ae1aac-de5c-4b60-b37a-e80c884828c8 · outbound

This paper cites Ramasesh and Ambrose Slone and Cem Anil and Imanol Schlag and Theo Gutman.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Ramasesh and Ambrose Slone and Cem Anil and Imanol Schlag and Theo Gutman

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.705174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.705174Z digest=sha256:a5984736e4d24f59160bb6a3e32cf27de49e011fd0c41745d80e329f070e8953

Observation f7603b00-7379-49b2-b256-4a58b10e4e89 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Evaluating Large Language Models Trained on Code

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.709462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.709462Z digest=sha256:dc3c5777877fc7371045684965165b713afae2042498672b298f5d811f29d18c

Observation c4b99781-10f0-4f45-86fc-f35216fa45e0 · outbound

This paper cites LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code , booktitle =

Reference 26

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unresolved
no resolver link, observed 2026-08-12T21:35:51.713970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.713970Z digest=sha256:8ccb4c2c096d0b200c5e27c6cf317c90f3553ed14b741bd27a7bbb4dd23aba54

Observation 56d17840-4467-464d-a01e-4beba152f589 · outbound

This paper cites BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions , booktitle =

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.718135Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.718135Z digest=sha256:ef4b921f172791396d782766a162b4cd29696786ed853b8660dfca38d13402e6

Observation 40cb6d33-21d4-4a30-8194-a3c84dded5f7 · outbound

This paper cites What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.722281Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.722281Z digest=sha256:068ce45eec381420c4778c9802aaa31d54711a0e645355ad5089d0fd741c23b4

Observation abaf3677-d1d2-4d9a-b8f2-bdfbaecf9693 · outbound

This paper cites 9th International Conference on Learning Representations,.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent 9th International Conference on Learning Representations,

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.726634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.726634Z digest=sha256:21faa2f54033bd28b3bd2e8f6e08416aede81668fa0e9967b9fe99aa85215769

Observation 07a7163d-a0c5-45e8-8853-0be9708b6a8b · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.730677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.730677Z digest=sha256:a75774c8f699d0edff6301794fe5791b8a3ce8394f15ed8ffc62340c809ede76

Observation 3c965e1c-e141-44f0-a731-bc304d5c7fab · outbound

This paper cites M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation , booktitle =

Reference 31

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unresolved
no resolver link, observed 2026-08-12T21:35:51.735246Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.735246Z digest=sha256:6871c861b1a678e0a695347ef3547c3a22ace65c3c7be7ee4efbc929bce146a2

Observation a075409a-f322-49f3-9117-212ba7d9d0b1 · outbound

This paper cites Balappanawar and Weicong Chen and Shashank Kambhatla and Srinivasan Iyengar and Shivkumar Kalyanaraman and Ponnurangam Kumaraguru and Vipin Chaudhary , title =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Balappanawar and Weicong Chen and Shashank Kambhatla and Srinivasan Iyengar and Shivkumar Kalyanaraman and Ponnurangam Kumaraguru and Vipin Chaudhary , title =

Reference 32

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unresolved
no resolver link, observed 2026-08-12T21:35:51.739797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.739797Z digest=sha256:c3ddb7b30fa32212bf0b239996d5c613b118ac196f48f7fb6b0f47f834ddd91f

Observation ecd402b2-b3fa-4c83-b178-f98347deaa20 · outbound

This paper cites FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent FT-Dojo: Towards Autonomous LLM Fine-Tuning with Language Agents

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.743934Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.743934Z digest=sha256:10f7b667fd6c623f4954d87af7ad8efe6fe2f0816eba510aff21cb8197df8227

Observation 6c9520ed-a5cb-42a6-864a-a1e90cb2107a · outbound

This paper cites Exploring Autonomous Agentic Data Engineering for Model Specialization.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Exploring Autonomous Agentic Data Engineering for Model Specialization

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-12T21:35:51.916390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.749661Z digest=sha256:00bd4e72042bbdbb56d0e2369b5690b6521922eddac765d6796cf14fe59f2259

Observation 63dec10e-ad0e-4de6-b549-e81ba5a9aa66 · outbound

This paper cites Can Generalist Agents Automate Data Curation?.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Can Generalist Agents Automate Data Curation?

Reference 35

Resolution
metadata mismatch
local_arxiv, observed 2026-08-12T21:35:51.896644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.754251Z digest=sha256:8e298bc82e3b8cbb168f165772d06df8c0ce157eea59d9e2c17c8daa3736393e

Observation 50f68434-9e5a-4c19-8650-5e159d827d27 · outbound

This paper cites 2026 , publisher =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent 2026 , publisher =

Reference 36

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unresolved
no resolver link, observed 2026-08-12T21:35:51.758714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.758714Z digest=sha256:1fc709d2953181e9025d3c07b3080eab1831bf210610f300f2471a9937852c84

Observation baa1807b-d987-4ffa-b675-2e5c5cc85fd0 · outbound

This paper cites Take the essence and discard the dross:.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Take the essence and discard the dross:

Reference 37

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.762719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.762719Z digest=sha256:944f3674cdfcb65d0b8574523ead681ec3f114feb00819c4cefa965d3c63600d

Observation 39afcee7-9c16-4748-bfae-d7f23d25d2f0 · outbound

This paper cites Data Selection for Language Models via Importance Resampling , booktitle =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Data Selection for Language Models via Importance Resampling , booktitle =

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T21:35:52.336459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.767056Z digest=sha256:a96dfcc03ab63aabd47e6aaa4ebae77e5d10e79b3b7462f31187081cf1e5146e

Observation d9359944-a77c-4193-922b-d573a0906343 · outbound

This paper cites an unresolved cited work.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-12T21:35:52.322581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=arxiv_source observed=2026-08-12T21:35:51.771048Z digest=sha256:07425cee02f53b6668f31cbb59b778f047d17860cdb3ae823a76644ee65344ba

Observation a594a563-d6d5-4b96-8872-285ebbc85071 · outbound

This paper cites How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent How to Fine-Tune a Reasoning Model? A Teacher-Student Cooperation Framework to Synthesize Student-Consistent SFT Data

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.775239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.775239Z digest=sha256:be4f44d75aed906f98fa55a1cf63f7b6b03bff1f8ae4f9580656a5420cf9bf71

Observation b09eba1d-2e49-432f-a0a0-c6548a42dc1a · outbound

This paper cites DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence , journal =.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent DeepSeek-V4: Towards Highly Efficient Million-Token Context Intelligence , journal =

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.779812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.779812Z digest=sha256:8b7ee30823daeedd1bda4e2bc25fc175c6f0fbf8baa50a3ce56aaddc3f908106

Observation 2ba5dc9e-5d5f-4878-a1b3-131b7bccd241 · outbound

This paper cites Generalized Slow Roll for Tensors.

Agentic Instruction Data Selection: Let DataMaster Interpret Your Intent Generalized Slow Roll for Tensors

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-12T21:35:51.784269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T21:35:51.784269Z digest=sha256:ac607e3b086286e833e70621008fe207b6c9fba89aa8b19d5bc0d8f921e9fc8c

Pith citing papers

No inbound Pith citation observations are available.