Paper Citation Record · LEDGER

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

As of 19 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 7 inbound Pith citation observations for arXiv:2505.20416.

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

pith.paper-citation-record.v1
2505.20416 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:00:33.402147Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:00:56.113141Z

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

43 of 43 outbound references displayed

verified exact3
verified fuzzy0
unresolved40
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

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

Outbound references

Observation 5de4fea8-03f8-4057-8ed6-db863ca1c556 · outbound

This paper cites How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation How do you know that? Teaching Generative Language Models to Reference Answers to Biomedical Questions

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:00:34.410611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c2e9f62e-708f-4c21-84bc-ea1c79d19ced · outbound

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

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:29.600015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 886f756d-3c45-4b6a-90e8-addf5704fe5b · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 3

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:37.588231Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ea6c4a00-bfde-4796-8c33-c4182977a0a2 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:37.424749Z

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8059f304-dd4d-4f30-8fe7-cd4313097b88 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:37.264612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 43373927-271c-4ea3-a94e-82f052489631 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:37.080345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 87f6604b-84cd-46fd-bb3d-71ee7d5a4266 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:36.907393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 11dd96d6-3b39-4e9d-aa74-11f3d5cafb96 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 8

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:36.703652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 78d230ca-c325-4625-838c-04acee48a7dd · outbound

This paper cites LightRAG: Simple and Fast Retrieval-Augmented Generation.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation LightRAG: Simple and Fast Retrieval-Augmented Generation

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:30.443560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8eca1af2-ef67-49d1-9194-12b445dcac64 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:30.526434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7543da6e-9cc2-42fc-a5f8-0df8677c5d6b · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 11

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:36.481755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8d1afdfb-ef07-4ec2-9b6b-296b9bfead64 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:30.678313Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e5587e7-c131-4354-af18-75673abbe7f0 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:36.235786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7e841c88-6ea8-4a66-8005-302c34e511b1 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:30.845629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b045b9e-ddd9-4621-945e-658300ccf784 · outbound

This paper cites Scaling Laws for Neural Language Models.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Scaling Laws for Neural Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:30.901388Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431cfa69-32a5-4461-a638-58ecba4f8a38 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 16

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:36.014540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 31c18690-2cb5-4afd-981b-b22ec3caf84b · outbound

This paper cites LongForm: Effective Instruction Tuning with Reverse Instructions.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation LongForm: Effective Instruction Tuning with Reverse Instructions

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.089767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50ed8937-6ff9-4060-bc55-45804d103389 · outbound

This paper cites On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation On the Role of Long-tail Knowledge in Retrieval Augmented Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.170015Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a1a95673-f78e-48fd-a18f-11386af5f299 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:35.787443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9a39f985-5418-4a9f-bb1a-0dd0e521f7bc · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:35.612378Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 5f8b9035-31b8-482b-abc4-c5df9f956dd4 · outbound

This paper cites Best Practices and Lessons Learned on Synthetic Data.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Best Practices and Lessons Learned on Synthetic Data

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.405117Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e988690b-12a9-44ef-9570-b074cb7ce78d · outbound

This paper cites On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation On LLMs-Driven Synthetic Data Generation, Curation, and Evaluation: A Survey

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.486151Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8057caba-38b6-4025-b1b0-9f71da005ca1 · outbound

This paper cites VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs

Reference 23

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:00:34.140189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation af7264e8-e402-4814-abb7-82e5a8c83fc3 · outbound

This paper cites Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Rephrasing the Web: A Recipe for Compute and Data-Efficient Language Modeling

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.493097Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fddf5425-92bf-4879-ba64-9875b5c4c91c · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.504032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69709be5-7cdb-4e3c-8d42-31ce3339071c · outbound

This paper cites Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.608166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff3899ac-635a-4ea3-bb34-96360efe4ed9 · outbound

This paper cites The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation The Ultimate Guide to Fine-Tuning LLMs from Basics to Breakthroughs: An Exhaustive Review of Technologies, Research, Best Practices, Applied Research Challenges and Opportunities

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:31.719031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b76f68ed-9d71-4b64-bc9f-80cfe12e1aad · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:35.444372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bacbbd9-88f6-45a6-82b1-0e3fa842bd0b · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:35.213071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f6af1e35-d7fd-435c-a3cf-c74b1af20c08 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84166ce3-1c08-44f4-a324-b31d1afe893e · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:32.094121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb82ee31-057f-4611-9cca-968d857a2265 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 32

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:35.071765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dfa25dd-518a-434d-a244-2d729dd91989 · outbound

This paper cites Qwen2.5 Technical Report.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Qwen2.5 Technical Report

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:32.277975Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf9b34c4-40cd-437b-9424-1955689571af · outbound

This paper cites HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:32.393107Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 022b3d1b-0f37-4f47-b71a-2ca76e38d9a1 · outbound

This paper cites Synthetic continued pretraining.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Synthetic continued pretraining

Reference 35

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b1f5342f-4abe-4484-a55d-015b20cf901a · outbound

This paper cites Genie: Achieving Human Parity in Content-Grounded Datasets Generation.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Genie: Achieving Human Parity in Content-Grounded Datasets Generation

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:32.574415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 236b59b8-3ae9-4f02-940c-250ec8b3a712 · outbound

This paper cites SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation SeedBench: A Multi-task Benchmark for Evaluating Large Language Models in Seed Science

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:32.650100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68bb9f2a-28dc-4380-98f6-bf1af4989348 · outbound

This paper cites Self-QA: Unsupervised Knowledge Guided Language Model Alignment.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Self-QA: Unsupervised Knowledge Guided Language Model Alignment

Reference 39

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:00:33.801103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a7252192-a611-4aea-a82c-f95842ff96ab · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 40

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 72fa98e2-b9cb-43a5-8a90-30b7875a2b80 · outbound

This paper cites Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Marco-o1: Towards Open Reasoning Models for Open-Ended Solutions

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:33.005432Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 69f78243-dde9-4186-a8a4-3affc971f670 · outbound

This paper cites an unresolved cited work.

GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T14:00:34.598822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7b4ab52d-ed8e-4ec1-83cb-30967a0334a3 · outbound

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GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation online" 'onlinestring :=

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:33.241436Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d6430d5-9f3f-444a-a2a8-a6536ad0d4f7 · outbound

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GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation write newline

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-07T14:00:33.402147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation dde05f2d-f7b4-4d0d-9660-c04418cba721 · inbound

Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents cites this paper.

Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documents GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-06T20:00:56.113141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 541e15e3-fab2-4269-9ca0-a4bc0a88c7e0 · inbound

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs cites this paper.

MedXIAOHE: A Comprehensive Recipe for Building Medical MLLMs GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-15T22:56:50.406292Z

Source-reported events for the cited work

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Observation a015fdf5-7c8f-43ca-92e5-4f94a3fb8400 · inbound

UniShield: Unified Face Attack Detection via KG-Informed Multimodal Reasoning cites this paper.

UniShield: Unified Face Attack Detection via KG-Informed Multimodal Reasoning GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:26:24.434798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 33337c6f-9e3a-452c-a134-5004acaa7301 · inbound

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? cites this paper.

TeleCom-Bench: How Far Are Large Language Models from Industrial Telecommunication Applications? GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-20T11:28:14.626268Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9337b38c-61da-4dc5-be05-4cee59c5f96c · inbound

EmbGen: Teaching with Reassembled Corpora cites this paper.

EmbGen: Teaching with Reassembled Corpora GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-20T06:38:05.530130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 88e06038-75e0-43e4-a20f-4a9faf677921 · inbound

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents cites this paper.

FORT-Searcher: Synthesizing Shortcut-Resistant Search Tasks for Training Deep Search Agents GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Reference 46

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T10:27:56.494259Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation baccde30-33c1-41f3-b1e9-c690b5ce62f0 · inbound

LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling cites this paper.

LoHoSearch: Benchmarking Long-Horizon Search Agents Beyond the Human Difficulty Ceiling GraphGen: Enhancing Supervised Fine-Tuning for LLMs with Knowledge-Driven Synthetic Data Generation

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:28:31.706678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.