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Paper Citation Record · LEDGER

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding

As of 7 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 1 inbound Pith citation observation for arXiv:2506.03968.

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

pith.paper-citation-record.v1
2506.03968 v1

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:59:23.268267Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T08:29:26.548534Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

65 of 65 outbound references displayed

  • verified exact0
  • verified fuzzy24
  • unresolved39
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 050fa4c3-8c3e-4b8f-a19e-fc74ad89456d · outbound

This paper cites Experience grounds language, 2020.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Experience grounds language, 2020

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:30.095488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:16.160828Z digest=sha256:14fda3b78440841a9179c077d7f69997879c0d869abe66795422562b4be2a7be

Observation d99c9e25-ba29-4726-99a0-3d02553ef9c5 · outbound

This paper cites Situated cognition and the culture of learning.Educational Researcher, 18(1):32–42, 1989.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Situated cognition and the culture of learning.Educational Researcher, 18(1):32–42, 1989

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.979776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:16.236162Z digest=sha256:7d568c7205c2515ede6361da62ae6e80ec17e12db5badb122bc8c885682abe05

Observation cc3f39fa-25de-4677-98ac-bdca6031db3c · outbound

This paper cites Genqa: Generating millions of instructions from a handful of prompts, 2024.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Genqa: Generating millions of instructions from a handful of prompts, 2024

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.891547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:16.440418Z digest=sha256:b01b820c31bea4e6e494f647543640999446d88e5ed3d04bb3ce0129f0915154

Observation 087f4f2b-2593-4a4b-906d-a982702d7ebb · outbound

This paper cites Gonzalez, Ion Stoica, and Eric P.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Gonzalez, Ion Stoica, and Eric P

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:16.608604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:16.608604Z digest=sha256:9b3a8563084f933061dc7f48acb6cfd984d3f74feefc694e60a67be3d3fec064

Observation cd554c4c-8a16-4044-9486-56106018066c · outbound

This paper cites Gonzalez, and Ion Stoica.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Gonzalez, and Ion Stoica

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:16.836022Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:16.836022Z digest=sha256:7e1161894c760965b2f1f7898f967f354e6753f7a9b6f51b89dbe519f5100352

Observation 393e202e-b20e-4270-9b84-e3b1541e5dd1 · outbound

This paper cites Chi, 9 Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Chi, 9 Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.798158Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:17.053771Z digest=sha256:d173478730a2501a0b9ca15a54c82a74f04530b14239769c5072c60fa5b0760b

Observation df52980e-e8ee-443b-8f1a-d0aed38bccbd · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:17.253134Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:17.253134Z digest=sha256:3390a4e2ea607bfc40514b8178e0a9e4d92035097370363af46da931d235947c

Observation bb45a4a4-9a79-42d6-ab24-737d3296aaa0 · outbound

This paper cites Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:17.401870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:17.401870Z digest=sha256:066449d434a656ee2838e545493d4c453aad37872f9e458859eabcf70e8c9323

Observation 02d7846d-78e2-417f-91f7-60ec9aa2444c · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:29.702304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:17.503128Z digest=sha256:3869f46da4cdf5e3f16082c76f7785c14c0c367ee4ecde01fbf33b8abbed4332

Observation 8ffcd9cc-db34-4c88-b19b-aa08dcaee4a1 · outbound

This paper cites Hashimoto.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Hashimoto

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:17.662693Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:17.662693Z digest=sha256:9d63f89548f79e6941090bd92fb388d3a5bf01806f98de7c2adf5595de0a8c9a

Observation 864c3608-344d-491d-ba36-a8beff2e9260 · outbound

This paper cites Perspective taking as egocentric anchoring and adjustment.Journal of personality and social psychology, 87:327–39, 09 2004.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Perspective taking as egocentric anchoring and adjustment.Journal of personality and social psychology, 87:327–39, 09 2004

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.589869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:17.812474Z digest=sha256:e91cb633519682b2585ff8ac4a15381469375d50096028942df7e0fa621e3a7e

Observation 4bdf7b9e-9e1a-466f-8462-e2ef2b7ac7ac · outbound

This paper cites The vendi score: A diversity evaluation metric for machine learning, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding The vendi score: A diversity evaluation metric for machine learning, 2023

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:17.937954Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:17.937954Z digest=sha256:90742a63090e3efe9ca436a1facb822a958a7a02f429a9f30ceee0e5d6c8db18

Observation 88e03a56-d11d-4712-bdd6-1919082f1c6c · outbound

This paper cites The pile: An 800gb dataset of diverse text for language modeling, 2020.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding The pile: An 800gb dataset of diverse text for language modeling, 2020

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:18.057067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:18.057067Z digest=sha256:52fbd4de48b23db673f126c7ee0fca49bc8796208fb175c929be6219c8359ea3

Observation 913efad9-62ee-428f-a391-ea98a714c09c · outbound

This paper cites Chatglm: A family of large language models from glm-130b to glm-4 all tools, 2024.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Chatglm: A family of large language models from glm-130b to glm-4 all tools, 2024

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.495206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:18.177992Z digest=sha256:8058f7cf5d0cfa9df41fbcb9995270f204e43068590953944b74640670ba5a46

Observation 313fccae-ea28-4246-a1ab-8977520459a0 · outbound

This paper cites BERTopic: Neural topic modeling with a class-based TF-IDF procedure.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:18.346931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:18.346931Z digest=sha256:bbd81c9df4cd12046b23f67772fd429fae35959f20572286b830070924dff83d

Observation 9e423a3b-adc9-48d4-81d2-1f946afc3335 · outbound

This paper cites Rae, Oriol Vinyals, and Laurent Sifre.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Rae, Oriol Vinyals, and Laurent Sifre

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:18.527958Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:18.527958Z digest=sha256:ae798272db8b443f6f7dfecd760266f2ec672ea8d9255a58da54925e42b2667b

Observation b19d68a4-9b7a-4693-af82-db7d9926a621 · outbound

This paper cites Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Brown, Benjamin Chess, Rewon Child, Scott Gray, Alec Radford, Jeffrey Wu, and Dario Amodei

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:18.635366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:18.635366Z digest=sha256:c664a9bc7235da147287b2dfe60e7be25c27e712f52b74b12f5d319c9641b4c1

Observation 7daf5e69-f490-4a4c-b61c-e8aa39fd7d34 · outbound

This paper cites Platolm: Teaching llms in multi-round dialogue via a user simulator, 2024.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Platolm: Teaching llms in multi-round dialogue via a user simulator, 2024

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.345961Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:18.729376Z digest=sha256:27e18cdb73a262623b430909a3d8785da9bb38ed9eadeddaef6d2aab53e14a87

Observation 0ff8e6f9-7740-4c74-b8d1-1554423a15f5 · outbound

This paper cites Openassistant conversations – democratizing large language model alignment, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Openassistant conversations – democratizing large language model alignment, 2023

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.246993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:18.810321Z digest=sha256:e12cdad0f7fdebd12acc3e309162644f2b0adb1d67fb5c9e86ca3a7539d34e56

Observation 1c889424-690f-45f5-9444-92f3f6d80a25 · outbound

This paper cites Gonzalez, and Ion Stoica.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Gonzalez, and Ion Stoica

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.177736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:18.857423Z digest=sha256:400207b5b55bb7c240c4872cc30dd9af6e521d8a6763949889b7600fe20a57ce

Observation 74c67fde-a23f-47bf-bb98-bfe30a5b075f · outbound

This paper cites Self-Alignment with Instruction Backtranslation.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Self-Alignment with Instruction Backtranslation

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:18.928090Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:18.928090Z digest=sha256:2945ec8af67d6326a76ec65626dd72cc9e25e389eb605e4ed5b3619b67d51d30

Observation b3c8eaee-a6c3-4c90-be94-ab9eeecde23d · outbound

This paper cites #instag: Instruction tagging for analyzing supervised fine-tuning of large language models, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding #instag: Instruction tagging for analyzing supervised fine-tuning of large language models, 2023

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:19.096892Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:19.096892Z digest=sha256:438681524c46b6cb9dc0ec5e4bed0c944cf67b054bc9ea430cefb0e33db0f076

Observation 393b7f9f-6ceb-4e86-85c2-f944da0654e0 · outbound

This paper cites Mtld, vocd-d, and hd-d: A validation study of sophisticated approaches to lexical diversity assessment.Behavior research methods, 42(2):381–392, 2010.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Mtld, vocd-d, and hd-d: A validation study of sophisticated approaches to lexical diversity assessment.Behavior research methods, 42(2):381–392, 2010

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.097221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:19.215589Z digest=sha256:48c53e26dc7bedb28317911cdf54b5f719120c190419752b4be29ec8a9b56ce1

Observation 262ca19e-6e59-4551-865c-ed2ee284014a · outbound

This paper cites Cross-task generalization via natural language crowdsourcing instructions, 2022.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Cross-task generalization via natural language crowdsourcing instructions, 2022

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:29.005960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:19.305972Z digest=sha256:6e22681d954f19934b4940976d0c75a7347d60f1cf28a910e8b2fc823be6a3a0

Observation ff9998c9-438f-40ec-baf6-6607b9d4675e · outbound

This paper cites Instruction in the wild: A user-based instruction dataset.https://github.com/XueFuzhao/InstructionWild, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Instruction in the wild: A user-based instruction dataset.https://github.com/XueFuzhao/InstructionWild, 2023

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:28.934229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:19.421536Z digest=sha256:56bb8106169b310542ac905fa2aabd6099d5240084a5011c6e3f9df92e52e814

Observation da5059af-c265-442c-a158-084e891338e0 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:19.551600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:19.551600Z digest=sha256:f2aa4492e056075f685d92a3288144b85557b48837cffc67d23e13c50015a828

Observation bfcc0007-9b55-45c5-a823-6dbb74aa4ceb · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:28.853542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:19.721024Z digest=sha256:0c510c0538f8c1ac5f595fa01073c61e649da120a399b2eb54c16cc688062948

Observation 8df688fa-a9ac-40c9-9e01-e689e50a6dcd · outbound

This paper cites The fineweb datasets: Decanting the web for the finest text data at scale, 2024.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding The fineweb datasets: Decanting the web for the finest text data at scale, 2024

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:28.772351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:19.873548Z digest=sha256:6352c640fa4b2ab97da2a0ccf5aa6dc8bdaa2721365e33139be9491cb8a59171

Observation 5082b608-e03d-4f77-9eb8-17f2114b28cc · outbound

This paper cites Hashimoto.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Hashimoto

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:19.963165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:19.963165Z digest=sha256:80930d8d97ac0004d9045cf7a9a0b67408c3911959972e29797a14e0a75001f6

Observation df146fa4-fc79-4448-a1c9-2fa051e7ecfe · outbound

This paper cites Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Openhermes 2.5: An open dataset of synthetic data for generalist llm assistants, 2023

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:28.656275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:20.040820Z digest=sha256:367a35e5f201b6919670f01a5769cada2592bd482ca48c0f2abe63c861901661

Observation 70082da3-b097-413b-99d3-7a8028d731aa · outbound

This paper cites Harvard university press, 1978.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Harvard university press, 1978

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:28.572399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:20.130471Z digest=sha256:a0214e31fd9348cb9285aaf24d26b88317219888f8dee2f50d334847a09f66ae

Observation a460b1d9-c367-4e76-bf13-725f1bed5516 · outbound

This paper cites Interpretable preferences via multi- objective reward modeling and mixture-of-experts.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Interpretable preferences via multi- objective reward modeling and mixture-of-experts

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:20.237787Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:20.237787Z digest=sha256:43de06d2549da215b40f1a8687b04ad08f9b6bf1d2c56f06757bbf3e395e0426

Observation 2eee4858-9abf-4252-b2dd-eb24b4e6adc7 · outbound

This paper cites Smith, Daniel Khashabi, and Hannaneh Hajishirzi.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Smith, Daniel Khashabi, and Hannaneh Hajishirzi

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:20.324831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:20.324831Z digest=sha256:d3dd02804eec2418ae725fdf47f1cc078b28e9bb5ffb4a89b2e81febb04fe704

Observation b9d4d380-ae1a-43e4-b8fc-f04ce373d36f · outbound

This paper cites Generative ai for math: Part i – mathpile: A billion-token-scale pretraining corpus for math, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Generative ai for math: Part i – mathpile: A billion-token-scale pretraining corpus for math, 2023

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:28.390304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:20.445856Z digest=sha256:27696dae6c5fe05f26159937b673358665d8d5416f5f9e6ba2959d77f2872790

Observation 054c9d12-6548-4dfe-9566-724e8d3481dc · outbound

This paper cites Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:20.570375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:20.570375Z digest=sha256:e55d2a98710aa62c58e5b8285e0b2c37ae5705e3632944f63b20302c59f21df9

Observation 0eb54858-ee5f-4572-9c22-c9ff6b0f14fd · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 36

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:28.278061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:20.645314Z digest=sha256:485f2207c6744765d1c0bc3e182eb74aa88003c2914cf6723ee133c454f4c0e3

Observation 91ff3993-36e9-42e6-bb04-4b7c0ebe3e3b · outbound

This paper cites Expert- prompting: Instructing large language models to be distinguished experts, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Expert- prompting: Instructing large language models to be distinguished experts, 2023

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:28.202844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:20.748677Z digest=sha256:3191103ecc5d12d6d8bece2ffc40131eb817e718ccad6765a13ccd4a60a7f6e1

Observation a7dffb22-e047-43ba-a1a0-1fd134b1bead · outbound

This paper cites Wizardlm: Empowering large language models to follow complex instructions, 2023.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Wizardlm: Empowering large language models to follow complex instructions, 2023

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:20.851679Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:20.851679Z digest=sha256:158873aef278532b0eb0a61592165b15bf0f3cfcb3643083d1246fd97ef6b5d6

Observation c2baf700-50b8-46f0-924c-3ec469301a16 · outbound

This paper cites Qwen2 technical report, 2024.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Qwen2 technical report, 2024

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:20.946362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:20.946362Z digest=sha256:c038bdcfdfc7ef3006d61c2838467cb88f22f8cefa37b5b28be53a825e5c5b25

Observation 24d192ab-379c-44db-9ea2-6d68fc343ce7 · outbound

This paper cites Mammoth2: Scaling instructions from the web, 2024.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Mammoth2: Scaling instructions from the web, 2024

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:21.054154Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:21.054154Z digest=sha256:8f81a042b083609133f1a9c5a446e96f5741f89d7da3e8fa10427fa00941c67e

Observation db236f82-51c6-4f0d-bca5-fe1f84aacd37 · outbound

This paper cites Wildchat: 1m chatgpt interaction logs in the wild, 2024.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Wildchat: 1m chatgpt interaction logs in the wild, 2024

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T10:59:21.169754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T10:59:21.169754Z digest=sha256:6b37cf699b2e5d6f39105bca2d8dab3e4d5a03bd4eb34166cdb2d829bc2c14d3

Observation 7dfead91-3168-4753-8681-7bc24431f044 · outbound

This paper cites Xing, Joseph E.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Xing, Joseph E

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:28.042191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:21.276614Z digest=sha256:30b2c1ed0299bf48b82ff09aaa64624dc721121581eabdebf960edf934b0654e

Observation 0d9e5ad5-bf06-4bee-837a-11a0a70282f1 · outbound

This paper cites P Xing, Hao Zhang, Joseph E.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding P Xing, Hao Zhang, Joseph E

Reference 43

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T10:59:27.935807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:21.361751Z digest=sha256:96ac89cdc2bdef60997049d60c88efdfda8b7d966404a079a6be16ccc43e6716

Observation 36f8c597-c799-4a05-93fb-8c7616459df9 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:27.834882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:21.466324Z digest=sha256:3617dac84c805fc9cd43b106367fae80e92d670482dae03333f1358a5bbef3c9

Observation 0b874ba6-9ff5-47ed-b50f-8b628666ea98 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:27.764061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:21.551124Z digest=sha256:4ea136100134ce3114dc09aeef29094e77552235cf406a880967ccce2313afa9

Observation c65fe097-8c11-4843-9cc8-4fb692a41160 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:27.664198Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:21.661646Z digest=sha256:7530ec25c134d9a92f302434956462603956495fc88aa35e25ed29e07d927536

Observation 9773a495-7ee7-45b8-abb8-2213803470ca · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:27.588914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:21.833720Z digest=sha256:158af70a8f5180a53d500c9f99990f14ffc402b6d1bbe2c3d7cbe31030ab3df4

Observation 45a47dcd-f910-4142-af32-2d94fde0688e · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:27.370726Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:21.932242Z digest=sha256:42be4d40053a4033c0749ad9945846c3cfe1d0d23a53daa8e28dc2552b2175a7

Observation b41ba2ef-d064-4d44-8378-2acdc4fc8fa2 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:27.138727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.028695Z digest=sha256:7d24c08446da4e1fe33accd7e1da408764aa774b5931195482ec2d16126dce27

Observation 379256a9-9ef9-47d6-ae65-b200d7d5ef5e · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 50

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:26.939382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.118164Z digest=sha256:10c69591cde0ee2633d089de9a2502b72dd8969a061e6c2cab14c7cc2c820570

Observation 8cab4a1d-d9aa-4f8e-ad66-87f2c97f92fd · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:26.750292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.204390Z digest=sha256:ff79e767ffded7d895bcadd1bf927cec4c98af6a43b5ee27dd82973267d4f056

Observation 3659b8b6-be2a-4336-a522-57c42bd216a6 · outbound

This paper cites buy and hold.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding buy and hold

Reference 52

Resolution
metadata mismatch
raw_fallback, observed 2026-08-07T10:59:23.695305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.291674Z digest=sha256:85c36a6212078e38bdf2249944e3de04d1f56853d3ff8b4ad4e2e303a8d1deb8

Observation 6efae7e3-b99c-4e5c-a84b-01fb18133ba3 · outbound

This paper cites Describe this scenario in one paragraph , detailing the logical steps from the document ’ s content to a query directed at an AI assistant.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Describe this scenario in one paragraph , detailing the logical steps from the document ’ s content to a query directed at an AI assistant

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:26.641769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.393171Z digest=sha256:9f1aa6d57d35845b52eeea307df462d9575356c650b014568a2ea15ee8151721

Observation 16ed563d-7ed2-4ec2-bf37-e3ccfdfa3317 · outbound

This paper cites - Knowledge : The relevant domain or subject matter related to the query.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding - Knowledge : The relevant domain or subject matter related to the query

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:26.520704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.477785Z digest=sha256:0abe9d64833eea504abdc28b796ddf377c50489bebf2a1c084d2fa4e56c5f49e

Observation 334aa9fd-97a9-4915-93e7-cfd42b2b5008 · outbound

This paper cites thought.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding thought

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:26.380215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.552288Z digest=sha256:de78729d6dd979883d448ad6c43ef5840871d30af64e21e264477d274c784fd5

Observation 3e710b98-a82a-4bac-856a-27ee60a119ca · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 56

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:26.255114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.667083Z digest=sha256:e0f219eac66ba4218babe7d6cae3d3526a5919daedb625cb6561baf1aacc8e79

Observation edb43e38-2915-40b6-aa34-df448eeaec7e · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 57

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:26.147230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.761258Z digest=sha256:689f90e9f7397e8c306fc6164f49cb6c77885263aa6010ca6788ad15e39866a2

Observation 87e9de17-19d0-486b-ab8a-69881d40cf87 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 58

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:26.068422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.853958Z digest=sha256:3617455b590e9fbf107abe158c29ae5df35798adb9a6ec8086a2641c5299aead

Observation deae238b-e44c-42ac-83e7-bd8ca8d74dec · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 59

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:25.803584Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.925076Z digest=sha256:ea4bfbd6a939b7dc87f4ca6408e28092055d38fdf94dc5515396fa6a4bb3e57a

Observation 864e5760-f968-4a5c-9933-b5d04ab0a3e9 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:25.497684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:22.981005Z digest=sha256:453822a430e592f496601875e208f740a1d5b97c1bf998b54c0d0f72e8705a0a

Observation de04b857-a9b8-45ba-b505-5a93a89f923e · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:25.392794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:23.053484Z digest=sha256:5a1784832f9e5a85c3c0a32e647ba7aaf81a35cf02d2f7f487048875cae788a2

Observation 273cf3c6-c428-4109-8515-561223b461e5 · outbound

This paper cites an unresolved cited work.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Unresolved cited work

Reference 62

Resolution
unresolved
raw_fallback, observed 2026-08-07T10:59:25.134612Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:23.087992Z digest=sha256:16ddb8a387c3a551441785b835a39e7f5902bdb4130dc5c6f641b47e4febaa7e

Observation 98d71e25-c230-4a62-a712-b797b294bd54 · outbound

This paper cites First analyze the prompt according to each aspect and then assign it with a score.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding First analyze the prompt according to each aspect and then assign it with a score

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:24.765018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:23.143339Z digest=sha256:a375ecc432dcaf30e982fda98b06550192a1106bed853c8d28a59b420c03df23

Observation 7d5605fa-c983-43ee-99ef-e91f7f50f4a2 · outbound

This paper cites Otherwise you should score it as 0.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding Otherwise you should score it as 0

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:24.349835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:23.193425Z digest=sha256:d3d5304fc250f2ca66ace2b44e1d85793207af93b87fbaad3343834c62fc2197

Observation ebb8a50f-e236-4bce-b56d-0270d1377f42 · outbound

This paper cites specificity.

From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding specificity

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T10:59:24.032631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T10:59:23.268267Z digest=sha256:6cbeb6a2ed71b96a93f718285faa1ae373f36289b22db429bfdf02747055a1f8

Pith citing papers

Observation a144f285-6d21-41aa-ac63-58e149511a35 · inbound

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs cites this paper.

HSS-Synth: Humanities and Social Sciences Data Synthesis for LLMs From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-01T08:29:26.548534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T08:29:26.548534Z digest=sha256:ff81b3735d38ddfc181a868f0c16ddbf7a8ce753b1030a025516d4acf4e96044