Paper Citation Record · LEDGER

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning

As of 8 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 1 inbound Pith citation observation for arXiv:2607.17043.

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

pith.paper-citation-record.v1
2607.17043 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T19:16:45.202633Z

measured 57 of 57 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T00:08:25.571429Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T00:08:28.562083Z

Reference resolution

56 of 56 outbound references displayed

verified exact3
verified fuzzy0
unresolved52
parse uncertain1
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7ba904ad-e4b8-4849-8c3f-7bd4a74345fa · outbound

This paper cites 2024 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2024 , eprint=

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:37.800084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bca8b6fe-7418-4163-b894-749d29777dd4 · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Forty-first International Conference on Machine Learning , year=

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:37.911031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a38c97e-fc3f-4c17-92f2-ed71ff1dbb50 · outbound

This paper cites First Conference on Language Modeling , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning First Conference on Language Modeling , year=

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:37.972344Z

Source-reported events for the cited work

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Observation fae68403-0f18-45f8-8149-12ea99187812 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Forty-second International Conference on Machine Learning , year=

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.050986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd7f2cbb-a295-46c6-82d6-7cba6dcb6ed7 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning The Thirteenth International Conference on Learning Representations , year=

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.149880Z

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Unavailable: canonical work link unavailable.

Observation 2f5966b1-a0a3-407f-bf34-1a2fe3205fdf · outbound

This paper cites Machine-generated text detection prevents language model collapse.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Machine-generated text detection prevents language model collapse

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.159710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6233ec5-a28c-473f-8d07-e2c6762789df · outbound

This paper cites The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning The Thirty-ninth Annual Conference on Neural Information Processing Systems , year=

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.163184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 626a08a3-d8b1-4890-8334-dd84845bbc8d · outbound

This paper cites First Conference on Language Modeling , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning First Conference on Language Modeling , year=

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.204167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 99094271-036a-4d80-8e07-8773c93c8608 · outbound

This paper cites Generating Datasets with Pretrained Language Models.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Generating Datasets with Pretrained Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.355848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f28b616d-6477-4835-820d-dfec94b9eeb0 · outbound

This paper cites Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering

Reference 10

Resolution: verified exact; doi, observed 2026-08-01T19:19:08.461907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation f0bac9a9-b2de-43f7-a1a7-caf472d095ec · outbound

This paper cites WildChat: 1M Chat.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning WildChat: 1M Chat

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.666561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa8bb71e-d67c-4b24-9f7f-1e07f7239b00 · outbound

This paper cites Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:38.836667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca4285d4-ef78-4987-a84f-aee48a6b3c44 · outbound

This paper cites 2025 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2025 , eprint=

Reference 13

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a217a4a5-b4a8-436a-8400-6bbb0365ecb5 · outbound

This paper cites 2025 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2025 , eprint=

Reference 14

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca64a94e-e342-4ac6-bf38-32cfeb644658 · outbound

This paper cites 2024 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2024 , eprint=

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:39.424723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b3ac5142-2f97-4ffb-848c-35e99c597ef0 · outbound

This paper cites ChemOrch: Empowering.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning ChemOrch: Empowering

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:39.593123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a997aa47-cd08-4956-a287-f810908393f2 · outbound

This paper cites AugGPT: Leveraging ChatGPT for Text Data Augmentation , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning AugGPT: Leveraging ChatGPT for Text Data Augmentation , year=

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:39.858154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6670701a-8289-4d16-8c1d-8f111c21251b · outbound

This paper cites MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation , url=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning MetaSynth: Meta-Prompting-Driven Agentic Scaffolds for Diverse Synthetic Data Generation , url=

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:40.069628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7056f156-31f4-439b-be41-cdede75f3a93 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 19

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7416383-9d9b-40b3-980b-72286b84c52a · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning The Thirteenth International Conference on Learning Representations , year=

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:40.407982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c95b31ad-066e-48cd-9a93-8ef3e4c7d046 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Training Verifiers to Solve Math Word Problems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:40.583129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8631f0b4-67bb-41b9-b9c8-8e59b581e471 · outbound

This paper cites Journal of Educational and Behavioral Statistics , volume =.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Journal of Educational and Behavioral Statistics , volume =

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:40.811463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4028f733-04c8-42a6-8bb2-8c6cca0480c0 · outbound

This paper cites 2024 , url=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2024 , url=

Reference 23

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93907abb-ec6c-4519-9154-dca22124392e · outbound

This paper cites 2021 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2021 , eprint=

Reference 24

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e24c473-e491-48da-a4f8-a39898762a44 · outbound

This paper cites 2021 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2021 , eprint=

Reference 25

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e1ed80a8-a2ec-4f8a-ac0e-ffb73a4d88aa · outbound

This paper cites Bowman , booktitle=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Bowman , booktitle=

Reference 26

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 30446ef8-0586-46d2-9368-1b2237f3022f · outbound

This paper cites 2023 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2023 , eprint=

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:41.500661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f04fb078-a386-4b4b-a5c9-e810ef619d08 · outbound

This paper cites Kernel Language Entropy: Fine-grained Uncertainty Quantification for.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Kernel Language Entropy: Fine-grained Uncertainty Quantification for

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:41.628791Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e6d7c491-2be7-4089-8431-8beeb49b1b43 · outbound

This paper cites an unresolved cited work.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Unresolved cited work

Reference 29

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3e284aa7-81da-4a4e-aa8a-40df3e75cde0 · outbound

This paper cites an unresolved cited work.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Unresolved cited work

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8d58358-543d-4532-82e0-c300eca4537c · outbound

This paper cites 2025 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2025 , eprint=

Reference 31

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Unavailable: canonical work link unavailable.

Observation 45d0a908-5848-4497-b1a0-4a57dd1ad673 · outbound

This paper cites 2024 , url =.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2024 , url =

Reference 32

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d3d9696-fd1d-4f5f-9888-2c9749005dd4 · outbound

This paper cites Gemma 3 , url=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Gemma 3 , url=

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:42.358076Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3d53f09-c6ad-4b3d-963f-df3b0e562185 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Forty-second International Conference on Machine Learning , year=

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:42.474509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29367883-9448-4fbe-85e2-c27807c7cde3 · outbound

This paper cites The Thirteenth International Conference on Learning Representations , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning The Thirteenth International Conference on Learning Representations , year=

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites 2023 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2023 , eprint=

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:42.897469Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 315b6c2f-43c8-46b1-b6aa-bbbf882473d4 · outbound

This paper cites and Le, Quoc V and Firat, Orhan.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning and Le, Quoc V and Firat, Orhan

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:42.934129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e19134b3-4931-4d58-872e-0e2db43445c5 · outbound

This paper cites an unresolved cited work.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Unresolved cited work

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:42.956431Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43913c31-1487-4054-9d3c-fad1e071fa57 · outbound

This paper cites 2025 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2025 , eprint=

Reference 39

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc40a455-6f63-40f5-950e-6f1f3cf030a9 · outbound

This paper cites L lama F actory: Unified Efficient Fine-Tuning of 100+ Language Models.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning L lama F actory: Unified Efficient Fine-Tuning of 100+ Language Models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:43.211634Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcac6cd5-998f-41e1-a8ac-62e56686453b · outbound

This paper cites 2016 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2016 , eprint=

Reference 41

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd482c3-8e75-4c60-a3ab-8fe8a7d6a207 · outbound

This paper cites The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning The Thirty-eighth Annual Conference on Neural Information Processing Systems , year=

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:43.608554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 498673f2-4e28-449d-a2fd-f3ba3e9aa386 · outbound

This paper cites CDS : Data Synthesis Method Guided by Cognitive Diagnosis Theory.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning CDS : Data Synthesis Method Guided by Cognitive Diagnosis Theory

Reference 43

Resolution: verified exact; doi, observed 2026-08-01T19:19:08.279888Z

Source-reported events for the cited work

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Observation a252d8d6-25ec-43a2-9293-c9d5f5eaf16c · outbound

This paper cites 2024 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2024 , eprint=

Reference 44

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd0e12c-fc1f-4bae-8045-50d9a3fbf6ca · outbound

This paper cites 2022 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2022 , eprint=

Reference 45

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 926a7241-20c8-4328-94d9-048cd20c85d9 · outbound

This paper cites 2025 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2025 , eprint=

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:44.300798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f01c923f-3201-4a7e-a2fd-97556fee14fe · outbound

This paper cites 2023 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2023 , eprint=

Reference 47

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95634d21-f569-4bb9-a16b-e79839860ab8 · outbound

This paper cites 2026 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2026 , eprint=

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:44.623575Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9be0d15b-38dc-4cfb-948f-282b0db9836a · outbound

This paper cites 2026 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2026 , eprint=

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:44.693087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23299422-824f-45a5-9c98-cce71f437d31 · outbound

This paper cites Language Models can Categorize System Inputs for Performance Analysis.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Language Models can Categorize System Inputs for Performance Analysis

Reference 50

Resolution: verified exact; doi, observed 2026-08-01T19:19:08.176100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation bf555187-8dad-468f-a47f-1d41298f8c52 · outbound

This paper cites Second Conference on Language Modeling , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Second Conference on Language Modeling , year=

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:44.858916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d540051b-933f-4a00-8edc-86995baa9d94 · outbound

This paper cites Forty-second International Conference on Machine Learning , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Forty-second International Conference on Machine Learning , year=

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:44.941979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e55852d6-264d-4ce1-8575-5e0dc82ce93f · outbound

This paper cites 2024 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2024 , eprint=

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:45.002164Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f9a9295-8fd1-4cc2-9c0c-88087406b018 · outbound

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

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:45.022515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 95a6c0ba-16a4-47b6-9057-920769197bbf · outbound

This paper cites The Fourteenth International Conference on Learning Representations , year=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning The Fourteenth International Conference on Learning Representations , year=

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:45.044690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d2a905b5-e227-464e-a956-4651fb5eddbd · outbound

This paper cites 2026 , eprint=.

Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning 2026 , eprint=

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-01T19:16:45.202633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation fdb61e68-0c05-42de-8a15-7b65e0b3a022 · inbound

Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition Mathematics cites this paper.

Question Begets Question: Self-Evolving Curriculum for Reinforcement Fine-Tuning on Competition Mathematics Learning from Synthetic Data without Model Collapse in Iterative Instruction Tuning

Reference 28

Resolution: verified exact; local_arxiv, observed 2026-08-06T00:08:28.703155Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.