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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 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:16.160828Z digest=sha256:bd2119f7dd18e51c6dc19d710e412cdbe151174e2930bdb788f3de79dc2911a3

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:16.236162Z digest=sha256:01452f231e6550e0ccd4a3cf2f6e137ceff76ac32efb7fab2026875abb09ce75

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:16.440418Z digest=sha256:d998a8cfe610f1ec6d3f004b55a642e730930e0d3bd014bbe6f99a89be9e8504

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:c60a78c0bca9b08c3171e219dd25bc8e76c9c722270a38ee55c43ee22c950f39

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:e3b90e2eacfd890bbcda93761e1c7ecadbb1f173c29f443c018378b265feb947

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:17.053771Z digest=sha256:9b5c740268536bb23c2631fa9bacf258c0f51f52b6cc02206322ab45dce1530d

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=sha256:15303bbca85694ea5329607b3300fcd2784f11b2506598526296a792c4c1aaca

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=sha256:465358bfac3dcc6141d8871f89e5a39b96d9bd1196e3030a75c206f0736b42e4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:17.503128Z digest=sha256:4338cc10be1e5560f19828a443c2dad323f3eb3b04fa496d95dc5f480b92dd97

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=sha256:9ab41e75c49839a83c60502ba41406c364065da4910c17102d919058e272e570

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:17.812474Z digest=sha256:282d514c28a76b426b6ca0fd8b7dcd9575907d209b1bd424baace57fb25a12af

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=sha256:0693d4d4de5583611c4a6648379826b754089186dd0eeab21cb0e5f6db1d9493

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:eab0f1472f6767adfb6902ffdbb37aeb044822e1355a92ddc0e66ad93ef06481

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:18.177992Z digest=sha256:1d56141f1de8f1f60d64c25c89d779383420194233ceaa90876cbeec78bb5bc6

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:e67257d4ba3f103890d65cd7b4a2cfebe66790bdef4c2388c5b195f253f29561

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=sha256:896b9da5e2299dba6c58eeb860b659a1837b641c351b2e408c4ef295d8a31e17

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:bc77b6d9c50718cc46479eedb210d19b24308509fb85151f8b3f8a9d55a219b7

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:18.729376Z digest=sha256:f375da0ab20a1dcb8e8d8e1a76534a94464c6a4331238a685fc0f09509879f8c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:18.810321Z digest=sha256:406d293e3fae308a91cbed731941be549f231a3bb2bb130934f219999edfd2dc

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:18.857423Z digest=sha256:a6f902750cb89e82cb6e2927d31090228e033376c44883b724735dbfe40cf48b

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=sha256:92c3836636038120038ebb1f53d40f716729293fb532de886d2c93249bf371a4

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:d7e31744cbd644a275da06f79ecaa86a92f180e74c2499446f7c20fd017fbb13

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:19.215589Z digest=sha256:c6a1349f8728f6d338a16de752588e35da047a74c80e19ad687371d6b21ab42c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:19.305972Z digest=sha256:e501a29f8ad17fec0373efd0244ab99f7e82ecdad883a1c77827c8a7f3c409da

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:19.421536Z digest=sha256:0e603fe6f14e382a0d353b127f42d0bdfe8cbd451eff91d8f0983548c49e0f88

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:f8f82bce5aa3e940c12a1e2d925c49019d7d6c6e32e92b237f7f4fdfcad35f67

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:19.721024Z digest=sha256:82cdc84e24fc1d288108876753d88838c3957de46c684902b2e7969f5f5d9e15

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:19.873548Z digest=sha256:70ad82dd11a9c1035cb6b9eb4d6d51fb07f16650151165dd867ff9a32a4655b9

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:a6bbd02d114e4eb1c39860d4d81d12f7fedf434deeb2fc61d1f414f30a25405e

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:20.040820Z digest=sha256:e17278072cf86d41a358a96ce35b3d8ca0e000c097bc6ec407cc823aaf709010

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:20.130471Z digest=sha256:256e790a7c8afb2db9ad88f3fde96509233b23d2916d56551163b65f9c0164c9

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=sha256:5fbbb7d3c4bffaec6f234b679b00a0bdb020719e9414dd868859f01d2f2effc6

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=sha256:542e54745d24807b9f469d6c85aa0bd3ccc9f5f7c1d6ce936866fc80727d281a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:20.445856Z digest=sha256:ce6b53e98b808bd104743a884101133e04ba4acc81ff4a83c02fd263b9d68601

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=sha256:4245e0893e0d60495040e98d794d201652c1d4834815f43d6cd945e87b58a2d4

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:20.645314Z digest=sha256:5cf51744b3913b12346e04a147c5104024a8c5184bcc21375ad66a9004aefdbb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:20.748677Z digest=sha256:663c2f7ee7db9c46325dddc1c015db7811fb81bda666c8e12a1b05fe30b6f253

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:a3d5ea3d80de55b82cf347303d7cb11f5484cde3fbc438d7d08e8ce3b0defb33

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:aba8407bce583e841a29af64c6e3b0b4ffd6040920567eb48b3af6dcf364f1d1

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=sha256:87c5a41a1043dbbde7a973dbf19793a32c8fe4e5cf6f7ef8696269b76df1c205

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=sha256:3476ae52cfc9bd4897c0bfa6a8959bd1efe18882fcb41999a22d75b5d8d97d0f

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:21.276614Z digest=sha256:12008e2b1147cbdd2b0a585e42f5ad6590d1db0024ebf047ddf0a06f8a21f7d5

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:21.361751Z digest=sha256:ce954ccd5b0b7827aadb8b39726f0a7d4212c065600d6fee45231b6a99e2b461

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:21.466324Z digest=sha256:fb32f5310aac7648966a7987395ef43de43457e61771ed725e19013380f89d9c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:21.551124Z digest=sha256:01810503987babdd5fc92ce4b0df166561d1326a4d9b6336c4eaad941fbb4f43

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:21.661646Z digest=sha256:1f44b1d9d2b4d8a73ac5f77d3454f855f10b7c3edf969844a4a1328d5bd3baaa

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:21.833720Z digest=sha256:4995630596b4b4a18a0d901d0e24d595e11a219da36d334ce90f6c7c4ae1fb4c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:21.932242Z digest=sha256:8b9c02d21e2acb3bee64ea154b2f0e9a2008bf1a7bc0c91ed940231659d13fb6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.028695Z digest=sha256:0ff1b7b9b31c89a6d6cf314d6b839d73dbe8b235f4a6311fede7d9e653616ac0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.118164Z digest=sha256:f3c3df648746af047b2f81149e12bc34883dadd8205354323acf1e90a98b5de1

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.204390Z digest=sha256:e9c569d091c9152519bddccb8d23da9270d7bef97896900a8be80f1c5618cea0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.291674Z digest=sha256:154ac7ab7b79e3a28e12e466c57181a4dcc77a81230299238ba4d449660336d0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.393171Z digest=sha256:4ecc3d8169082a96625ed1f32da879c4d67a49fb3d227777a1abcb7df086d0b6

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.477785Z digest=sha256:903172a7f54619941a8fa19b7a93b0159c0afd7186aac3621a33b03b09f5dbeb

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.552288Z digest=sha256:108acf499044cf518f0b0d21acfc95f1a64301ad59b51266ab880ac104732f5b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.667083Z digest=sha256:1f4d7808a836eaeb4be0239d5c546adebf905312a5a1df4af5b4c4747bbd068a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.761258Z digest=sha256:9a2f5caa5d8a0edaa6716c07c401dff28c7c9d9438a6c19941235a9e2eef7568

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.853958Z digest=sha256:54b94c4863490fbfae29b3c3904964bd10e24646406a0edf3d2120c7708ac504

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.925076Z digest=sha256:ef0cad15ec990590ed676bcfa55b173814e83f8219a0ec046c2304b24f553ae9

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:22.981005Z digest=sha256:2d94216c8a6508e8c0359f4a5e056e24214a1ac6460f08bced41eb2aaf6b545d

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:23.053484Z digest=sha256:a4223144340d4a042f7e134397b72a6188c52e33c4642ae137b421d8c1dcb7df

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:23.087992Z digest=sha256:f89020d0d20eae79daef6a8c44493b8fe3c367ee889408e541aee97042070300

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:23.143339Z digest=sha256:ad180ed472d41e3a21ba4de29781412140a61482ff055821ead235ec40810e16

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:23.193425Z digest=sha256:012d22dabdb41cc33df5ed0cdee603c4b71afe1f857b25620ae3cbcb5f6e7b49

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T10:59:23.268267Z digest=sha256:ca28f7096a8570b0a178c78ee6dc4d804b2d238229e5bb63927bd1a0d0536840

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:d0cfa54c11ae5cc772f9772526bc64a576229e44eacadc867fef3abf5b786003