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Paper Citation Record · LEDGER

Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2409.08239.

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

pith.paper-citation-record.v1
2409.08239 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:10:34.867268Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c16fe5cf-eae2-4996-96bd-f991bd65dde0 · inbound

Aligning Instruction Tuning with Pre-training cites this paper.

Aligning Instruction Tuning with Pre-training Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-10T20:10:34.867268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:10:34.867268Z digest=sha256:0448a7ca96cdba1ed5c235c765ede4361efd504353fa3979dd926d9e699d2dd0

Observation 190610bc-aa42-4dab-a69d-63965aa93ca5 · inbound

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs cites this paper.

Is Your Model Fairly Certain? Uncertainty-Aware Fairness Evaluation for LLMs Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:44:06.723738Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:44:06.723738Z digest=sha256:bab9b0866e09dc4a3f461feeda9a6783518b0bce458178870deb4e693369ac8c

Observation 187f9d54-418b-4dd6-bacf-154e183852e8 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 241

Resolution
unresolved
no resolver link, observed 2026-08-06T21:36:40.681098Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T21:36:40.681098Z digest=sha256:8726e52cfffd415142766c62872d80b069781b7976ad912877ea81b51af00ccc

Observation 3e280a25-1839-4d99-aff3-9ba0fe9a9397 · inbound

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning cites this paper.

SyncLoop: A Multimodal Dual-Loop Framework for Self-Improving Mathematical Reasoning Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T15:12:01.920806Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:12:01.920806Z digest=sha256:88f6b35f8add46e76fb02c642663a0cf77cdd273a8685b9e9d30e2ea0b0a8c39

Observation 7524c2c4-a62f-4b4b-b2b2-4bc1e5acc17e · inbound

Generative Data Refinement: Just Ask for Better Data cites this paper.

Generative Data Refinement: Just Ask for Better Data Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-04T20:24:40.677580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T20:24:40.677580Z digest=sha256:f82805a5bdcbe236669f3d67bcdef87b937b1f2bd96f96b892b4561b7d4f8742

Observation afb87699-5449-4213-946f-516bd66d8f3b · inbound

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision cites this paper.

Compute as Teacher: Turning Inference Compute Into Reference-Free Supervision Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-18T15:46:34.158676Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-18T15:45:09.730804Z digest=sha256:628991523bb582afbb59c41a97537bbedf4880af547f845c0ab50dd5c2ee3691

Observation 166476a0-ce7b-4706-b04e-dce729ce918e · inbound

Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence cites this paper.

Escaping Model Collapse via Synthetic Data Verification: Near-term Improvements and Long-term Convergence Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-04T09:18:34.357327Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T09:18:34.357327Z digest=sha256:0fd35456b84c07b129dd96a06586d3ea9daefe4deb062c2e800ab4370abad404

Observation 0ec865cf-ec5e-46e3-978e-9663cb42be50 · inbound

Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation cites this paper.

Context-Instrumental Data Distillation for Kubernetes Manifest Generation: Method and Experimental Evaluation Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T23:14:00.951704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-29T23:07:08.124993Z digest=sha256:e0c1466fb6ba12bb03912ff6d7bee2aa9812aff777b09867c136e9b837adb998

Observation 67f5dc75-4580-45f4-88de-d9b4fb7b0bbd · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 104

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T20:40:08.268939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-25T19:50:35.574454Z digest=sha256:10e4696d98582b32f6540ced9838eec778b74cf47129fd7f468dcd2671c4f11e

Observation 6c9f9913-9fd6-4983-9ffa-c904beb66703 · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 104

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:19:51.245073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T05:16:12.361470Z digest=sha256:c43d7b130e9ddce205353bb359477969dd929753e8f66438fc07e1e71ebfe1e0

Observation 7e5efbc6-70d5-4d7c-8ffd-ce346b26b34b · inbound

Autodata: An agentic data scientist to create high quality synthetic data cites this paper.

Autodata: An agentic data scientist to create high quality synthetic data Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 17

Resolution
unresolved
no resolver link, observed 2026-07-12T12:08:06.206832Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T12:08:06.206832Z digest=sha256:71e37fbd5eb3d30e23398a0422fec6fae56b389d1a14b43ae195fc0f638b2b1e

Observation 9711ee19-5b12-4cc6-a6a0-c073d9207787 · inbound

CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph cites this paper.

CORTEX: High-Quality Cross-Domain Organization of Web-Scale Corpora through Ontological Corpus Graph Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 90

Resolution
verified exact
arxiv_id, observed 2026-06-30T06:14:18.511424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T06:04:40.684934Z digest=sha256:2e8169b67d32855f52808c421a12d56904e6bd95691e059ebdca54c8baa129c6

Observation 8575751e-fdb8-4091-a02a-6c657f22c03d · inbound

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL cites this paper.

Masked Diffusion Language Models are Strong and Steerable Text-Based World Models for Agentic RL Source2Synth: Synthetic Data Generation and Curation Grounded in Real Data Sources

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-02T14:50:13.195296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T14:50:13.195296Z digest=sha256:e169b1b3abf9801dd40460ad845884aa4cf249d238a7ac52e96124605cbbe1e1