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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

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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:a3a354319e5e7dfe01bac1d4c3871755feba12cc927d6b0675dfd22ec402a9ce

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:aeec2270eb15639dfefbbedd5afeb7955ca0f52237ab1cdfe73593e2aa19ffea

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=sha256:8471d31252de770582c01ffd45a46e01930b0933d6d2e351f2d84d2793e7cc0a

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

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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:b76ccd8cfa93ecc0a82afc56b9be8e3640d99f6a4c95b8cd3ba3b9222a146530

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=sha256:89ed0973146e132b3d1ab041137aaefbf065ca2e3c66a25f3caac18f05ef4997

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=sha256:7b7a42e7c6855efda88c0e8fe0e3165b961e2a398fbe1b03c826e0c5164ee38b

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=sha256:1dbac5229942bf3a70eba3d1da11afb644dd6ebbb12d742ee272c8d6ea244e40

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:ec173d61b3c6f9fde12ea67c2b9d744db72a07d721b274b0e402b8da90cb14d4

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=sha256:751fd5ba6c3621f12963ebf0f8072cd52eabe7839aab8d77421371933c26c716

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:fe5f316dbcfb75581335fff9fffbe93e7f865e425cc361f2526b3684448e4dc9

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:dc6ed0faa6e6fad23f88b6004de281cacd20dda0b81f2a1e58bd05321ff30048

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=sha256:779404b8c96b1626c854ba3749afc8e3b3d478b5cdbea9fcb64acb938e9ae306

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:b815bcfe70bd167b9ccb5ca85b5fce795c3b0a0e9516fe54565931ee1afb3884

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=sha256:91b186fcce5f792242fa9ee9e6eab477f5b7c4495b48e4df2df42a786f025c25

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=sha256:2c1f8be54adfe98a057faef9293544a4cf17bcf3fecf327f8e59347e5167be4f

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=sha256:80133672d708aa0a48dec80d41ff6930eccfd054839b01560085d4d71eb6df61

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=sha256:02d63f3f7489d09f7768058f77d93b971f84b80619cf21456458f5f070ef0773

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

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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:fb32ce95e5fc05a812fa496e041a5a6f2d5aa30b32399aa67ca05cb85da40b4c

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=sha256:0857479a6646044625464cd6ab865eda993c21aa8a3e541e1a4b42e20300adff

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=sha256:2ecfe846dab07b2a838c86f822b5ba0c287dee597819ce412a64666010d56a44

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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unresolved
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=sha256:6b251407bd0fe04ecc1210c5f5919fa3e8a556c4e04b6480fe15c4b776d95314

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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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=sha256:3dd9a75988d7b27192592174edc9518ae36f3bd64571e6f2d54eef8613d550d4

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
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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:f8a5cfda1530e4374d9d6b4c78050f55f4af404c442b9beffc106bec1941423c

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

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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:be995653f9e260533879b9ab9f71e1b20dc0e73ae63625c12166d1e88269c0b9

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
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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=sha256:21d0b350820d62350aee23b34ffe4e4cbc55755683c2c76bfafa9d7bc14b2b03

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:e7506967ff445c533729de1e24d39076d35e741816ce261cf8922a092e09cf6a

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

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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=sha256:016b83b15a4bc1b27965fcbc840de458b20f7766b8d75d2c636a66c9de9e7a3b

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:e5f48b80db37ca472e3f198e2aa3fdad703dcfa127b9fa510c1e3d36b97e606d

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=sha256:3aed4c02e5e2447159efa9a1117b9aedfaaf37f5368e5e643986f3e18467ae8a

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:c803f8c0e796da75752ef76fe80d31649899168162b40a020b98e7f164d7f668

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=sha256:85fb7e4df3fb9c0d9244f3c02a495184454b2e3c676ca928e1b3219d5e57ec98

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=sha256:9f97fb8ae07df72a7ad5082ea4e3590cc8f80313c74288bd94d9c3246781efc0

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=sha256:625b7812f8fe9394f0c85135191ee9ff7bfb95ba6d3ed2795aa4b00ba6e88ec0

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=sha256:3f05842ee4e2489969da27f46a07a3ea5d005481613a144bc4d05c7c1b9b6dfa

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=sha256:03f9ecbe905a1e6649b55f120679a5ff9f91f192082abfbb9ecdcaa9f6024d74

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:c72d37488fc404f0c210580ea5b71e53f229a3824edf6c06709423ec824d41b0

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=sha256:8a2bd46ef2590fe3ae3274ab75de0f296dad33803db65ef66932cbfc736ff402

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=sha256:9e81cbce081659b466e999efe6eb7e333a6a9b3eac688dcb9a31f823640ea4bc

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:b232ea1eaf6174ddaafbf0676330e3ba5a7b74ea9848246fb6364eb36bb85df5

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=sha256:988e56373653cdb2f1ed01ffd359485bdd522e9d5c9bd06be1a92043f47b59ef

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=sha256:5fd9d334e620eb3348202e2583a9aae0c0d84adcf06feda08e2e3ec7aedd298b

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:dbaba029d381438be9706c3870be334a667ab4118430b10545c0ab924513ba9e

Pith citing papers

No inbound Pith citation observations are available.