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Paper Citation Record · LEDGER

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

As of 22 July 2026, this Paper Citation Record lists 100 of 126 outbound references and 40 inbound Pith citation observations for arXiv:2406.08464.

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

pith.paper-citation-record.v1
2406.08464 v2

Coverage vector

measured 100 of 126 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T06:58:36.684583Z

measured 140 of 140 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-07-21T06:31:05.380196+00:00

measured 40 of 40 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-12T04:43:45.592808Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T06:15:00.866473Z

Reference resolution

100 of 126 outbound references displayed

  • verified exact28
  • verified fuzzy67
  • unresolved0
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c84e706c-a1ea-42f6-9c76-b6c6319d8b51 · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing and Stoica, Ion and Xing, Eric P

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.028423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:289e10c84fd465950111254f9f7c41ff365e73c4e436f4c9c1791a17e88b8274

Observation ab95d82c-3e08-46fb-84f5-820bd1d11c1b · outbound

This paper cites EMNLP , year=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing EMNLP , year=

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.927457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:8ffc7e1aa66b2129b5422ed218567151c2b835ae8f8ad7e93f1349b23f060534

Observation 5d272d3b-e664-467c-b58c-a400e26d1600 · outbound

This paper cites Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency , pages=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.010157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:cfd58d3f0d01ac3bd266374a177bda11e94b913e40a599f5b6546e0f3f02048d

Observation 91507a4b-3de8-404c-a96d-f8e521f445e0 · outbound

This paper cites 2018 , publisher=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2018 , publisher=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.976145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:279ed40e287886df85e988dbbdbc5bc41e689a6e53ccfa49f190c59a7402d2ba

Observation 7da021a5-4f9f-42b8-884f-b08cb5e9f78b · outbound

This paper cites International Conference on Machine Learning , pages=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing International Conference on Machine Learning , pages=

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.044331Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:794fd03caac65875ca2024ca9315a5bd665059bf3ec4a654b98e0ce326ccbc3b

Observation 716c15c4-3f61-4377-b992-869493a7f0cc · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Advances in Neural Information Processing Systems , volume=

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.047100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:c29bc45ad2165fc3af5eee8351cd704c1a03c43e51f5e6d4cd4e92d10a24e6f6

Observation 95914694-7b36-4e0d-9cef-1b00f3440124 · outbound

This paper cites 2024 , eprint=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2024 , eprint=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.049444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:fbd355466d61df94dfb8047aa92c5b236311c7b7abd63a915cc3bcefb02754fb

Observation 14605e28-e5c3-44d6-959d-60c19e6dc315 · outbound

This paper cites ArXiv , year=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing ArXiv , year=

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.051626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:eb3bc506cdcd976e9a772e0d9535fdb5c8ae7d523563c62d72830f290cbab39f

Observation e3fc4218-a8ea-48c4-8e0d-be6b333411b9 · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing International Conference on Learning Representations , year=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.054034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:c4da8eb432878e266e5591e4d8ffe5356923ce25f3bc955563b12f2e18630505

Observation 7444f911-abbe-4ab0-91f3-4190aedbbbd3 · outbound

This paper cites 30th USENIX Security Symposium (USENIX Security 21) , pages=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 30th USENIX Security Symposium (USENIX Security 21) , pages=

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.056724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:74364de6e66157de0ad8d5077f29ba8da24580cd33d99cf794c62ebd11622440

Observation 11b5a8b3-509e-4594-9580-4e931ee1ac7f · outbound

This paper cites Hashimoto , title =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Hashimoto , title =

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.059292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:e4988e4b70ff448f82cbbc5bf2ebf346df77cba155c144ce2103eb90f210615c

Observation 1084ebf8-245d-4a15-8c84-7989619cfe46 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Advances in Neural Information Processing Systems , volume=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.061704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:985ff04a4ee74b1ea46775ae6c4fdff174e06651191c39929afbb31e50bd7154

Observation 5c9883ea-982f-4f69-b75d-89899d997f36 · outbound

This paper cites Gonzalez and Ion Stoica , booktitle=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gonzalez and Ion Stoica , booktitle=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.064308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:505cb3a678c1d77877ecc5776904b1d757b10d70cc343b619b9d9c0e8558d55e

Observation 0f3bad24-0cd1-4f25-9240-7fbca9c881b5 · outbound

This paper cites Gonzalez and Ion Stoica , month =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gonzalez and Ion Stoica , month =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.066852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:b5fcf61878a9c5d0d579cd7e6c69c1e4dda915b8215a53bdf672890040f7f226

Observation 3b0e45f5-bc6b-4654-a9c6-dedec45fb7a1 · outbound

This paper cites International Conference on Artificial Intelligence and Statistics , pages=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing International Conference on Artificial Intelligence and Statistics , pages=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.069596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:02c434868dbac57c2cd2225e5f194d444cc2b24fce82b43fd85cb4e7c2de3399

Observation f80e3c7e-5e11-45b1-a510-56e844a9373d · outbound

This paper cites Thirty-seventh Conference on Neural Information Processing Systems , year=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Thirty-seventh Conference on Neural Information Processing Systems , year=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.072413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:882e5b8dd1ef9bd2b49ea331aeafe44043aeed120289b0c3947b7ac2efc27af6

Observation 1eff7ae7-e514-4466-8bc9-c9ce92f93eb9 · outbound

This paper cites author=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing author=

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.075047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:7913161ef865d084abf9b44c77fa80f3800b24b8fbd530c2e8bb0f16f54bb172

Observation ecab8525-7398-4759-825c-d1260085b2c9 · outbound

This paper cites Hashimoto , title =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Hashimoto , title =

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.077413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:b71f17f7a22eb679548ae7d5f65069d91e7d7f36182d492905ae26c46bb782a2

Observation aab8f8cb-d4e7-486d-afc9-46da26915116 · outbound

This paper cites WildChat: 1M Chat.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing WildChat: 1M Chat

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.080152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:ee2625ce8ab9f884b517c7a23c36d19d53306260155ea76ee4cd7ef7404f7265

Observation 2ef94001-b1e6-4c07-a47a-b911dc65bf25 · outbound

This paper cites Gonzalez and Ion Stoica and Hao Zhang , booktitle=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gonzalez and Ion Stoica and Hao Zhang , booktitle=

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.083008Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:8588b66e1472627e8c9aa44efa357108f1b5ba0e8d9b09d9c48a252b08427c0e

Observation 00e69720-afd8-4942-9977-1e8ae5079c91 · outbound

This paper cites 2023 , publisher =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2023 , publisher =

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.085656Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:bc3ef7a829dbb15c324a4e9dec6bd552759be212e8ca01b1bb3bd3be92761131

Observation 90f9a139-5159-40fb-8c69-50c09db3a984 · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing and Khashabi, Daniel and Hajishirzi, Hannaneh

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.088102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:a05b2898f9230909704823f20b8dfb95aba221e52f5fe7dbdf530f73e888f719

Observation bcd86131-cd65-4a3e-be00-6ebf3fc4a49d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Advances in Neural Information Processing Systems , volume=

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.090777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:7ab535358b334092e16e1905aff5742b43807810dab05bec94552331dc1299d6

Observation 2bfb1ed8-d554-4540-95df-a954faba569a · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing The Twelfth International Conference on Learning Representations , year=

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.093131Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:fa10f1b369687220422cf5d0c34054799f75b6c5ad08306caf92e3e05746acaa

Observation 0f1127ea-fda4-43c1-bbad-b6dc77913571 · outbound

This paper cites 2022 , eprint=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2022 , eprint=

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.096776Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:28a33a868dc952a4b6b64532891e62209d46d1ec8d63f13a985207fbeeeb0260

Observation 64ddadb7-42fc-4652-9061-a2d927df915f · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing International Conference on Learning Representations , year=

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.103522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:16783aade9a9b2d53df42c67bd0dcefddbfde38aec5b0dcad1ec35c41c2c81d3

Observation e37f0113-57e0-4bb6-ace0-10834997c01f · outbound

This paper cites Large Language Model Alignment: A Survey.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Large Language Model Alignment: A Survey

Reference 52

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:58:36.776950Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:bcc737a7dcc5e18374ea1dfb07a9c644b61e0926c8198286653970d1160a676d

Observation 6d7322f3-b2d6-4490-8b7e-5908e6c5c729 · outbound

This paper cites an unresolved cited work.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Unresolved cited work

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.109061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:0d03e3c91d5bd3f5f39c048bc89827ec013a28cfad1c7b374bdd5f43b8469e5e

Observation 74fffd9b-a90d-430f-910a-9535e1e50d78 · outbound

This paper cites Thirteenth international conference on the principles of knowledge representation and reasoning , year=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Thirteenth international conference on the principles of knowledge representation and reasoning , year=

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.111869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:947494547f0a1728d5e336ec3a44e24de1ab613494efef3a8404744bf65fbd86

Observation fa2ba539-d920-4758-aa73-0e56dc82da20 · outbound

This paper cites 2023 , publisher =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2023 , publisher =

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.114490Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:9b9c8097c55644d1416b3a30bb4c45f8eee34d7f0c4c4fb951ede7506227640b

Observation a3e20ed5-dad1-4733-a2a4-b0c2a774819c · outbound

This paper cites an unresolved cited work.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Unresolved cited work

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.117418Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:f3981d9d216060595c25199ed58bae7e5ed785790d40a2b971f688b349cdb76a

Observation 6cdc1daf-d8c0-4b7b-b090-95336f09a28d · outbound

This paper cites an unresolved cited work.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Unresolved cited work

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.120745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:2d9be29cfd8f0d88af18bd0d70f55549bca3a4242f590249ed72476bf4dbecfd

Observation 4682ddf1-13f5-4efc-bad8-123a2c584e9f · outbound

This paper cites 2023 , publisher =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2023 , publisher =

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.123436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:a5f6d72bf78fd5e0e4d8ad56dbc8395b7db7bc14f983ee195e059d97134c42c5

Observation 5c33a6c5-6f32-4a80-a3aa-b426de40244e · outbound

This paper cites 2023 , publisher =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2023 , publisher =

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.125914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:633a98da04538e6df0c262c296509231144695713031cff646dd2cabc9da5605

Observation a1d1e25b-9544-422b-8c73-eb0df636e707 · outbound

This paper cites 2024 , eprint=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2024 , eprint=

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.128655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:d6c8aec7c0f3d7d4a4f9ea48b69b96debcfbf9f782279de78d2d37ba21d05f5c

Observation 68d581b6-280c-40a5-9189-7476eb95b3f4 · outbound

This paper cites Zephyr: Direct Distillation of LM Alignment.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Zephyr: Direct Distillation of LM Alignment

Reference 68

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T10:13:57.632488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:c777acd13f88b101476ae6bbfa733f94d804d9337e6402934790250a09710ace

Observation f9e064d6-c0af-4164-b875-a0949a112d95 · outbound

This paper cites Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Proceedings of the ACM SIGOPS 29th Symposium on Operating Systems Principles , year=

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.134953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:88182e2b5633e9defcd92dc8bc4f04e7d6586d199c2b465bb816254f49629514

Observation 7f93f3d5-a8d5-40b7-aa9e-025cd67766ac · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Advances in Neural Information Processing Systems , volume=

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.138237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:40f314277ef920d4de803e61b2fc6d947a63014be83da3ad5fec369bfaf6373f

Observation 76f80f1c-1f24-4533-987a-7f77a8b2a401 · outbound

This paper cites 2024 , eprint=.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing 2024 , eprint=

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.142288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:67e55180c4756f7c5d66954763e712bc6327cd619e261ea5340002f9a600bda0

Observation 8f7f3b03-e927-4f7e-b282-6bbf8b196cdb · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing International Conference on Learning Representations , year=

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.145225Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:8906eceb2baad4f607655ed7430e9a07015a90bb8e2598434f613ff28e7934d5

Observation 69ef49b9-ac0d-47b8-b89b-e9625b14c741 · outbound

This paper cites OpenAssistant Conversations - Democratizing Large Language Model Alignment , url =.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing OpenAssistant Conversations - Democratizing Large Language Model Alignment , url =

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.148955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:1a693ecfc297c493c89f30205eb30466485979e663d1f27d3095c789b9c3e88d

Observation 0618127b-a424-419f-8e7b-27b6b969416e · outbound

This paper cites an unresolved cited work.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Unresolved cited work

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.151842Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:178fbfec7ba871568306b52b6796b04134d49ce75a406e0f911b78fa4e20adbc

Observation 643a37d2-493e-4286-9fcf-30abb6caba00 · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Forty-first International Conference on Machine Learning , year=

Reference 81

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.154752Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:6f564f5bc19cb55932a1defcb905b8d1865e06a1704ab589eb5c1520b4e018f0

Observation 0566571d-8e4d-48af-bcc5-c9d36a8cd7c7 · outbound

This paper cites an unresolved cited work.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Unresolved cited work

Reference 84

Resolution
parse uncertain
raw_fallback, observed 2026-05-16T06:58:36.924721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:794bcb4e0ba2a30cc9b14b1f288b056e3415d321c565ffc2e6d00cdd9d93b663

Observation b40325af-2145-4a5c-a27a-6f1f4e7f1a06 · outbound

This paper cites Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Phi-3 Technical Report: A Highly Capable Language Model Locally on Your Phone

Reference 85

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.786708Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:580a8a477343ba17ea7f9e785e42377871d365b37e84073d933c443dba446100

Observation fa588d7e-ffd1-4795-bfa8-e5fe26e2578a · outbound

This paper cites GPT-4 Technical Report.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing GPT-4 Technical Report

Reference 86

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.790893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:3ee5e643a37a4d2030670c9d9bba3492a01f6169681dc286d94564a20de04860

Observation a7a5eb2f-d32f-418f-8f37-8043c24011e8 · outbound

This paper cites A general theoretical paradigm to understand learning from human preferences.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing A general theoretical paradigm to understand learning from human preferences

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.932536Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:7fab72dca251fb2aec8de8e91b5ee53d72203d8e20dd6c6f102f699832e47829

Observation dc775463-ddae-4a2c-bc93-3a28b135a601 · outbound

This paper cites Qwen Technical Report.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Qwen Technical Report

Reference 88

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.794561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:c77c8316a677f7a50cd59fc5f57c5d2d73cc23f91b468b685afef9a326201191

Observation ee410df2-a0ec-4a00-9068-92d36679387d · outbound

This paper cites Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models

Reference 89

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:36.798372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:abf2fd1291a4415ca6fa4875f62c7ebf37ad0ec068385095e0d701142ac61a4c

Observation 693727ec-8fee-469f-b834-f038a1c738c3 · outbound

This paper cites Training a helpful and harmless assistant with reinforcement learning from human feedback.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Training a helpful and harmless assistant with reinforcement learning from human feedback

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.940547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:6a799c70f999bc0a4f6dbd5d9075dfba947b3cb4a5da7a6917ae264c540bc39d

Observation 47a23b11-2889-4bff-8f13-97db98ea832a · outbound

This paper cites Open llm leaderboard.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Open llm leaderboard

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.943271Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:47f616bd342d9b8dd4e0838984f433158219e263bb4065885b83c54fd9f54b52

Observation 483faca8-daa6-44c0-a5d0-1beeede92155 · outbound

This paper cites Emergent and predictable memorization in large language models.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Emergent and predictable memorization in large language models

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.946570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:fbf58ef8f16e78dc438bdbea9975d7e59f33f8547ab44d1bfc743be02660741e

Observation 4e1880ce-b2a7-405c-a011-e1c1145066ec · outbound

This paper cites What does it mean for a language model to preserve privacy? In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, pp.\ 2280--2292.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing What does it mean for a language model to preserve privacy? In Proceedings of the 2022 ACM Conference on Fairness, Accountability, and Transparency, pp.\ 2280--2292

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.949723Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:16089af490c329dad2eb3c8bbe748e5bb364bc48d5dfc1360ae1dc8c0fbd39ee

Observation 3d72da05-c960-4984-a622-ec947e900da2 · outbound

This paper cites Extracting training data from large language models.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Extracting training data from large language models

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.952571Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:4b9632910a29daa3492722680207a8965293fbde82a797d82af0209bd8d163af

Observation 217d6053-41cf-44db-9aa0-61c61ed15de9 · outbound

This paper cites GenQA: Generating Millions of Instructions from a Handful of Prompts.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing GenQA: Generating Millions of Instructions from a Handful of Prompts

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:36.802882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:3edab4a3383d8dfd6f8e2a1be0cf2210eafa3d5bc8b6653c3e490cfc88a1146a

Observation d20c3b24-4d51-457c-b745-a4f3169b70cc · outbound

This paper cites AlpaGasus: Training A Better Alpaca with Fewer Data.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 96

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:36.807488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:2176ca27d2191600bfa8f378f4104a4e58fccb9282a88a2feb0d112039ca96ae

Observation 21e5df2b-b40a-47c0-9965-21fbea4a78e7 · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gonzalez, Ion Stoica, and Eric P

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.961060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:f56141806e37a0717e00536e602b5d91e8fe730f18854bc25cb72fadf1250c8a

Observation 7f5607b9-d792-472a-b3d2-290edd450527 · outbound

This paper cites Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Think you have Solved Question Answering? Try ARC, the AI2 Reasoning Challenge

Reference 98

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.811579Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:06b6b1f1d7056a0a8e0490bd441b78d2ccd3bb6414974f266992e613db88c1c9

Observation 8f87a4f5-0b9d-4a5c-9080-7a8736a2a263 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Training Verifiers to Solve Math Word Problems

Reference 99

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.815672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:ab7d9a66382085df712be36a5853f88d0497560776d1b7b8eab26db29f51c49c

Observation 2e1838cb-cc93-4f7b-8b86-2c393f9f32b8 · outbound

This paper cites UltraFeedback: Boosting Language Models with Scaled AI Feedback.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 100

Resolution
verified exact
arxiv_id, observed 2026-05-17T16:41:29.205174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:cd30222f0524e3f645aa4165a8de1bc16013e9efcfbf059fd7390da05e4fa0b6

Observation 03a8bf12-495f-4319-b76f-b507c7393dfe · outbound

This paper cites Databricks dolly-15k.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Databricks dolly-15k

Reference 101

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.972572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:7dd50139b0e827bcd26a5b08e77a456212dff9c34485235802e28169c4586f54

Observation 3ee73fd2-bfc6-4b57-9d68-5feea8e17572 · outbound

This paper cites On the limitations of reference-free evaluations of generated text.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing On the limitations of reference-free evaluations of generated text

Reference 102

Resolution
verified exact
doi, observed 2026-05-16T06:58:36.758073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:914a9d4a456a6af3c4c82cb79187e65d512c600c6be27184ce2120c3f7b423f8

Observation 0be8e4d5-d2c3-4706-bdba-82a5ff6351a6 · outbound

This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 103

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.824290Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:d40ff4a3c0d7c34ab3a5d2b5b44abaa353f9b8a47645471f39dff40c407db486

Observation 44b81f33-92a5-4c7d-a967-e67b3f282b9e · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Enhancing Chat Language Models by Scaling High-quality Instructional Conversations

Reference 104

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.827828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:ea73837be2559cdf485a3d00de75398818875df2b7952e84d2c0f84f82a19891

Observation 60ff0f9a-3b7e-4ff1-baba-7ff2907554b2 · outbound

This paper cites The faiss library.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing The faiss library

Reference 105

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.985061Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:b09f4b92248639e0276e40792f44773a662bbfeadcf0d907612262aec70912eb

Observation b606c608-0576-4cab-9918-f2aeaa533236 · outbound

This paper cites The Llama 3 Herd of Models.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing The Llama 3 Herd of Models

Reference 106

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.831337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:071b833e7711f1f2d0851da76038d78eb82115fbd9bc42d9642aa734995bb546

Observation 9c90e92b-1363-4835-81bf-1ea7299a4e6e · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 107

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.834878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:c0a746a14edf3494e4eba68812bf79931ca51945c42a2364c0653881c0296ac0

Observation 6966dd62-80d8-4446-b8d1-031c51cdf531 · outbound

This paper cites KTO: Model Alignment as Prospect Theoretic Optimization.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing KTO: Model Alignment as Prospect Theoretic Optimization

Reference 108

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.838823Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:589000fd9942018d64f0d1a810e016c3902ac494dc358b23e32b5b583a3b5db0

Observation bd905aa4-6c1e-4809-9448-2f63b38fdca2 · outbound

This paper cites Better Synthetic Data by Retrieving and Transforming Existing Datasets.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Better Synthetic Data by Retrieving and Transforming Existing Datasets

Reference 109

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:36.842302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:4d114c9d304b37a752fb949669aa947d42e83588de54e40cdaf2484206de9b9f

Observation 8628d4db-1796-47ba-87cf-8b9561bda533 · outbound

This paper cites Are We Done with MMLU?.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Are We Done with MMLU?

Reference 110

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arxiv_id, observed 2026-05-16T06:58:36.846203Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:aa6eec712cb33ced2f91dc9e3cd452dd3a2e43655627edc3e38e8a1fc20a9813

Observation cb3143b6-36d9-406e-adbb-aff586661430 · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Measuring Massive Multitask Language Understanding

Reference 111

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local_arxiv, observed 2026-05-16T06:58:36.849492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:1ca16aeb80b32348b28809cc5647de762d06979608df25e04f156f017ee400ca

Observation cc7cbe39-34a7-4ada-9c2e-34fba7cd3219 · outbound

This paper cites ORPO: Monolithic Preference Optimization without Reference Model.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing ORPO: Monolithic Preference Optimization without Reference Model

Reference 112

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arxiv_id, observed 2026-05-16T09:34:04.958044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:1ba87d3a5f92149931ee4c88c4f8b64cd1ddf693d1b9256e58535531a5203194

Observation b47acf53-5bda-487f-a970-37388c911db6 · outbound

This paper cites an unresolved cited work.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Unresolved cited work

Reference 113

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raw_fallback, observed 2026-05-16T06:58:37.004935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:e42d028291aefafdfe66288df4143d9ceb90d9f60900816644c2e979d63b5750

Observation 3f1ba3ff-253a-4587-beec-2bf67b25eab6 · outbound

This paper cites Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 114

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arxiv_id, observed 2026-05-16T06:58:36.856799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:b49f0d6b9b3178f13f705850c00972b8a4a53051e544a7de1ecdb4d15664a58e

Observation 9cfb9c20-cca0-495b-aca2-09eda475b796 · outbound

This paper cites Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Alpaca against Vicuna: Using LLMs to Uncover Memorization of LLMs

Reference 115

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arxiv_id, observed 2026-05-16T06:58:36.860707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:819f97cd7d63c1611dabfbfbde03ee63e4ea2663967ed7afb9876bcf37ccb546

Observation 8835b5a0-17ff-4fb9-b2e2-9cc526c9ed5b · outbound

This paper cites o pf, Yannic Kilcher, Dimitri von R\.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing o pf, Yannic Kilcher, Dimitri von R\

Reference 116

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verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.013095Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:15cae65bcbfacdb595130d41fa018ce17d80ca42e5e38ca3fd60b2e006679353

Observation 11219b2a-6600-46e9-91c7-94a2586606e6 · outbound

This paper cites Parikh, Nicolas Papernot, and Mohit Iyyer.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Parikh, Nicolas Papernot, and Mohit Iyyer

Reference 117

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raw_fallback, observed 2026-05-16T06:58:37.015377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:db6c28e8ecd532c04c2e8f67840a80c19b079a7b00189ee8ea17762f1a57c22f

Observation 0d41b66b-e11b-4d38-ae19-50befcaa1d6b · outbound

This paper cites Gonzalez, Hao Zhang, and Ion Stoica.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gonzalez, Hao Zhang, and Ion Stoica

Reference 118

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.017705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:8117c3acbd93bde500b7bec7c175caf0a9ca9a99c59eff386a93bc61625309f9

Observation 4837305e-d645-41f6-abde-f621aa5cc087 · outbound

This paper cites RewardBench: Evaluating Reward Models for Language Modeling.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing RewardBench: Evaluating Reward Models for Language Modeling

Reference 119

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:58:36.864176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:adcd47699a9d40612a8f735a48199f297c5030edb47038001810b0c644dbcb3a

Observation e6396ec7-f0be-4380-8bf2-2b3fc42579c4 · outbound

This paper cites The winograd schema challenge.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing The winograd schema challenge

Reference 120

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raw_fallback, observed 2026-05-16T06:58:37.023092Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:f7c97a273a44a4705eac46907489dc328cd5fb31a3a703f2b504199d4b32475b

Observation 6d16a012-9fea-439a-9b2c-62699a84fa6d · outbound

This paper cites Camel: Communicative agents for" mind" exploration of large language model society.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Camel: Communicative agents for" mind" exploration of large language model society

Reference 121

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.025474Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:eeea2b1970c5d13a722e377f33efa7cc316347a9c006d245710a56b90d39a744

Observation 31ef5c27-e38c-409e-ae2b-784d33696889 · outbound

This paper cites Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Synthetic Data (Almost) from Scratch: Generalized Instruction Tuning for Language Models

Reference 122

Resolution
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arxiv_id, observed 2026-05-16T06:58:36.867815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:befee3c9dc88069e125eef47a9b4fb34b6c52b5294217b5eb6f52f0591f15ef1

Observation fbe733e5-580f-4ccf-af6f-666abbb8989c · outbound

This paper cites Gonzalez, and Ion Stoica.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gonzalez, and Ion Stoica

Reference 123

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.031118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:c79f72574d26abb68fe088a6ebf63acb19ade41005caa36e88e2537a2cab2a7b

Observation ed0f6796-4d91-4c4b-8573-41de0595b671 · outbound

This paper cites Hashimoto.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Hashimoto

Reference 124

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.033974Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:e89d6dbca55e6363eee4229e07c166daefee5dde863bb1607f998471ef45668a

Observation 56962391-eaa0-4ea2-9a87-3765dc60ad49 · outbound

This paper cites The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing The Unlocking Spell on Base LLMs: Rethinking Alignment via In-Context Learning

Reference 125

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:58:36.871379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:9ee4475094d87b11dd18b025947883d084fdd05841e21e9bc52302ee1a06adc3

Observation ebcdc062-6cc6-4ecd-ba16-79dfe4656f3e · outbound

This paper cites Wildbench: Benchmarking language models with challenging tasks from real users in the wild.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Wildbench: Benchmarking language models with challenging tasks from real users in the wild

Reference 126

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.039279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:96efe6665b07b6375d205dddd6d9b48b9ead7bcaaa07c32bb70134bf96c8df26

Observation c0e30c0a-0539-42a0-8fe2-f5c5ac3452e5 · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 127

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local_arxiv, observed 2026-05-16T06:58:36.874890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:2f293499114c49b25d6c0bb4e703c9695d08fdb4a9175b592d6f70f8c1a0bb26

Observation 261ecafe-d14b-4ecb-84d0-41aea6fa43a1 · outbound

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

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Best Practices and Lessons Learned on Synthetic Data

Reference 128

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arxiv_id, observed 2026-05-16T06:58:36.878570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:361856008330bac41665e7aeae1e6081940e525b00ac517df7c6e08518e8c9fc

Observation 423a4b39-37ee-45a3-bdd5-8bd2795acf3f · outbound

This paper cites What makes good data for alignment? a comprehensive study of automatic data selection in instruction tuning.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing What makes good data for alignment? a comprehensive study of automatic data selection in instruction tuning

Reference 129

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:37.131566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:53edb2f7e3c8da2f7e35ebfcc45c01fd490583493a7c631495ddd4b3291e4c1e

Observation 63664023-8e42-4bd5-875a-d32642e75721 · outbound

This paper cites SimPO: Simple Preference Optimization with a Reference-Free Reward.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 130

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arxiv_id, observed 2026-05-16T06:58:36.882351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:a950e3e73dadceb5a12cc042e9cbc4e28aa7742e7cee03769a4ba85ed63a5863

Observation f8e7d1a0-3fba-4aa5-9996-a2043fe8e86b · outbound

This paper cites an unresolved cited work.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Unresolved cited work

Reference 131

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raw_fallback, observed 2026-05-16T06:58:36.929831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:e9a7c50cb6196457f43fb942039a7c575f8a27aeafb0b9d632885e6a15cceba1

Observation 87eb2f84-9fd0-4e19-92ec-2f212ae47fc0 · outbound

This paper cites Scalable Extraction of Training Data from (Production) Language Models.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Scalable Extraction of Training Data from (Production) Language Models

Reference 132

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local_arxiv, observed 2026-05-16T06:58:36.885269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:e605e048f9a386d9ad8842c2f292b9ca6fb4e238d1c7867bfdb753e852b5111e

Observation 69c81363-7bee-4bfb-a5a3-5e20e8ef26f8 · outbound

This paper cites Tiktoken.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Tiktoken

Reference 133

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.937641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:460a2cbf7ae41220512eb5cf759fe44890b137799caad70a3434ee44dcad83eb

Observation 8d3d7870-f220-49e7-8f11-d03bfcbd28a4 · outbound

This paper cites Improving language understanding by generative pre-training.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Improving language understanding by generative pre-training

Reference 134

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.955458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:eccf827058a4af723775a2c63b413b96f010b2d40d739fd566f0d640ca15d444

Observation 283ed27b-bbe4-434b-8a4b-0e08ec7cf369 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Direct preference optimization: Your language model is secretly a reward model

Reference 135

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.958496Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:af2577ee239312b2542662058e2550ecb0183cb742d3f96e80109b63d930bfac

Observation af106e34-8f35-437e-af64-0bb26ee7ec4a · outbound

This paper cites Multitask prompted training enables zero-shot task generalization.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Multitask prompted training enables zero-shot task generalization

Reference 136

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.964017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:44007714eb173f68116961251aa3979a6dda735bea9c855b7b97c0a00453666d

Observation 11942d2d-7861-45cf-9a9d-5823aeb7b496 · outbound

This paper cites LLM Pruning and Distillation in Practice: The Minitron Approach.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing LLM Pruning and Distillation in Practice: The Minitron Approach

Reference 137

Resolution
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arxiv_id, observed 2026-05-16T06:58:36.888798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:9907f723ef9be3106e95e0ab93573f3d2e07bbbe105a72bc4757c51f9e7425ce

Observation d98f6bbd-6a23-4601-b2a6-f88c9da45516 · outbound

This paper cites Principle-driven self-alignment of language models from scratch with minimal human supervision.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Principle-driven self-alignment of language models from scratch with minimal human supervision

Reference 138

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.970043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:3e030383a7d8659872ff82fac4caf84820d463a17ad276737b71216254ba4ab4

Observation 0643545f-bde3-4720-a29f-c9e280c00b5f · outbound

This paper cites Hashimoto.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Hashimoto

Reference 139

Resolution
verified fuzzy
raw_fallback, observed 2026-05-16T06:58:36.979383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:ecc3c239e79a9bd55716067c16fcc4dbf94e770e623e068f9c026a2b6b98dd4e

Observation 8be4f0bc-3d69-4ada-83d2-2aa6aaa2e597 · outbound

This paper cites Gemma 2: Improving Open Language Models at a Practical Size.

Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing Gemma 2: Improving Open Language Models at a Practical Size

Reference 140

Resolution
verified exact
local_arxiv, observed 2026-05-16T06:58:36.891851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T06:58:36.684583Z digest=sha256:7828acc1d3cb747fc597cf8899555831765331f2ee6a002fb7abcc1ed3d8f5f8

Pith citing papers

Observation 264342f1-c307-403d-8911-5f2a2e975c96 · inbound

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression cites this paper.

Preserving Knowledge in Large Language Model with Model-Agnostic Self-Decompression Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-05-24T00:13:39.412302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-24T00:09:52.093810Z digest=sha256:f067d9584734a0f2a1ff8039419c825b8fb87c3ae7ab777d997bc464fa0b029b

Observation 776e7a12-60f1-4134-a0d2-61cbc912b66d · inbound

LLaVA-OneVision: Easy Visual Task Transfer cites this paper.

LLaVA-OneVision: Easy Visual Task Transfer Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 144

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T14:23:49.412830Z digest=sha256:484208a7082afa4fa49ccf069b1c1804a3f0a4cdd7eab4994e5c453d8a8bb5a6

Observation 1ba00fd2-dfad-4807-8be3-156b49e22fd7 · inbound

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs cites this paper.

Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-05-17T16:18:01.679820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-17T16:18:01.560780Z digest=sha256:4c1de9bdb1c8927555c1ac1e18316c540e6947febd00899278135d44679e297e

Observation 3d52a3bb-c21f-44c4-bcc3-c2b4d3788eb3 · inbound

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling cites this paper.

Expanding Performance Boundaries of Open-Source Multimodal Models with Model, Data, and Test-Time Scaling Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 267

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arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T13:23:57.588851Z digest=sha256:6abbfe8b69b296256ab5e596ba197d02cb49e086575ebc2bbc225a7cbcc5ae9b

Observation edf381cb-e2bb-4b5c-89a6-b27d1ea07ed9 · inbound

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding cites this paper.

DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 99

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-11T10:09:21.542356Z digest=sha256:0481266236a33bc487d67f695eec4ad0dcc5beeb95b0e0ccc99e2dcffaffcf7f

Observation ef64c790-af46-45cb-a54e-d2845293c9c2 · inbound

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding cites this paper.

VideoLLaMA 3: Frontier Multimodal Foundation Models for Image and Video Understanding Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 95

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-11T01:19:59.603343Z digest=sha256:5f54498bc1fc9b43f41b4e69c1474a9a8580d6070058708a14780afeab5d7d66

Observation 3e394671-308c-494c-b55b-ece490eaa513 · inbound

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model cites this paper.

SmolLM2: When Smol Goes Big -- Data-Centric Training of a Small Language Model Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 242

Resolution
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arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-13T17:30:02.803757Z digest=sha256:0581b1655b102f87dc50443d6f55935ff3a2504ddd438a78669509d49a735598

Observation e8d09ec6-f97e-46a6-b50a-d7421330363a · inbound

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach cites this paper.

Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth Approach Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 171

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-12T15:39:40.845703Z digest=sha256:f5df4cff3e0a8861df73408ff53073ea9bd17f4689f910197a72b82a25568119

Observation fdcada18-16a8-4c4d-978b-9f5c9c505a3f · inbound

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety cites this paper.

Safety at Scale: A Comprehensive Survey of Large Model and Agent Safety Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 209

Resolution
verified exact
local_arxiv, observed 2026-05-23T04:42:34.188078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-23T04:39:04.591722Z digest=sha256:c1645dd03cab45b5b01c996061f36c3863f44bed0660190209d3923f03b1da94

Observation eaa4c681-bcaa-4923-aa81-4590c9cb1b3f · inbound

Large Language Diffusion Models cites this paper.

Large Language Diffusion Models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 104

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-11T01:42:54.279353Z digest=sha256:e867ab474c3e873de824bccf72e2b9ceb6aadc7d7cba1a0a5d1b445510fb9f47

Observation 9d7ab6d2-bef4-49f9-b970-9c439f6ffaa3 · inbound

SmolVLM: Redefining small and efficient multimodal models cites this paper.

SmolVLM: Redefining small and efficient multimodal models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 34

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T20:23:50.552549Z digest=sha256:9ba3c9c2a0af4e369f00e72ebdac7c5a24a939f8501bd4a368027048c539634e

Observation cc7388f3-62ab-466e-a0f8-98f9e6f6b04d · inbound

Kimi-Audio Technical Report cites this paper.

Kimi-Audio Technical Report Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-11T19:21:26.933349Z digest=sha256:75decceb592c67d744c887aee1d735df310fd9549aa507e9ecf5adaeae6d238d

Observation bb554d37-9451-4ee4-bc13-f1c5136123bb · inbound

eLLM: Elastic Memory Management Framework for Efficient LLM Serving cites this paper.

eLLM: Elastic Memory Management Framework for Efficient LLM Serving Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 36

Resolution
verified exact
local_arxiv, observed 2026-05-19T09:42:13.899168Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-19T09:41:45.544399Z digest=sha256:6509ff1324753e90819fb932e108882ed173390796691d5c992106fdf0954906

Observation 6facf9b0-1c09-476b-92f2-2d1b4143dd26 · inbound

The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models cites this paper.

The Ratchet Effect in Silico: How Interaction Drives Cumulative Intelligence in Large Language Models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 51

Resolution
verified exact
local_arxiv, observed 2026-05-19T02:41:59.929692Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-19T02:38:27.510872Z digest=sha256:2fb01ddaa5f3dea643780927cea46c42b9439e2e33b0bff52067f581e20a03a8

Observation fcd04892-ff16-4326-8716-2d78f88074ee · inbound

Enhancing Speech Large Language Models through Reinforced Behavior Alignment cites this paper.

Enhancing Speech Large Language Models through Reinforced Behavior Alignment Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 52

Resolution
verified exact
local_arxiv, observed 2026-05-21T22:24:23.540389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-21T22:23:52.392075Z digest=sha256:fa275ad9a1bb8f89fdc5c470a9960c102de1ff52827ccf49fdbec92f8fa6b810

Observation 3ad89c61-8919-4d24-91e6-4108c09c6d59 · inbound

Multi-Token Prediction via Self-Distillation cites this paper.

Multi-Token Prediction via Self-Distillation Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-16T06:43:41.128101Z digest=sha256:30988ef3402fc5643760fa4fe5bef1cc06d2d252667ae44130985fbb163b59ab

Observation d6e82280-3a37-4e2e-9915-d1e719eeeacd · inbound

To Adapt or not to Adapt, Rethinking the Value of Medical Knowledge-Aware Large Language Models cites this paper.

To Adapt or not to Adapt, Rethinking the Value of Medical Knowledge-Aware Large Language Models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-10T18:43:39.841036Z digest=sha256:e33a1b3f6ea242f17bb51e47ae1ec117a0436939470d5994418d9404b1750682

Observation e597ed42-d554-4b10-824e-d09fc899bef4 · inbound

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding cites this paper.

SPEED-Bench: A Unified and Diverse Benchmark for Speculative Decoding Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-16T03:13:37.202362Z digest=sha256:b9ea6ec779c52e51a71bbf0a65feb683090c5e1a77b971aef23d4e21501dbce4

Observation 280d94ae-993b-44f3-b63a-e6bf0f56b7ae · inbound

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning cites this paper.

TwinGate: Stateful Defense against Decompositional Jailbreaks in Untraceable Traffic via Asymmetric Contrastive Learning Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-07T06:12:37.845017Z digest=sha256:bc14eef45926d75eb136a7fd259ea30cee7fb9645f2985ea2641853783c1a356

Observation 513b9806-e520-46a4-8b0d-9f149fd7e3f5 · inbound

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training cites this paper.

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-08T16:40:09.425514Z digest=sha256:fd58d443e6d4572537346ce88e953dc5c71c4f8687c543260f2a2fffc7775296

Observation 386ec8a7-855c-4b91-b5d0-e107f9ad2c85 · inbound

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training cites this paper.

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-11T02:21:00.807497Z digest=sha256:6b40ab652f04375ebea6021c4642d694c38d13158e722357a7cf177b07878d02

Observation 123b929e-6da2-41b4-8e84-d101534f5b24 · inbound

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training cites this paper.

Rethinking Local Learning: A Cheaper and Faster Recipe for LLM Post-Training Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 27

Resolution
verified exact
local_arxiv, observed 2026-06-30T23:45:07.571177Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-30T23:44:50.736224Z digest=sha256:675ad9cf597be20482636daaa210ddd648e3a533f96600361437c1c88f6630a7

Observation 24d75ea0-7604-46de-b92f-fd82c5e97ad3 · inbound

ZAYA1-8B Technical Report cites this paper.

ZAYA1-8B Technical Report Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 65

Resolution
metadata mismatch
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-08T17:36:37.182196Z digest=sha256:6f584f4755144e8c11c0d9062a8b5d481ea6cead7c00b34678284faf2d3ce2e6

Observation 20b79598-a638-4265-baf1-645ee0c42272 · inbound

Hypothesis generation and updating in large language models cites this paper.

Hypothesis generation and updating in large language models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-05-08T14:43:56.125546Z digest=sha256:84ce5d922afd22a4ad2ee92d3035e79640d08a597774c6db895a0b2b96317e47

Observation bd976b95-5a7f-4f93-952d-bc4067829e8c · inbound

PARD-2: Target-Aligned Parallel Draft Model for Dual-Mode Speculative Decoding cites this paper.

PARD-2: Target-Aligned Parallel Draft Model for Dual-Mode Speculative Decoding Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-12T01:08:14.247342Z digest=sha256:60aa82d7e75276d52d7594f4ab353e53f24eaccb0117cfe526310b60c8ea7af4

Observation 2f309f6f-dddb-4954-b6f2-be048afbd187 · inbound

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-13T01:03:10.263663Z digest=sha256:526a2b77dcbee94d657c0c43d6b12cbc7bb8388763c63e03e10bad1dac113c71

Observation fbcf9a2e-768a-492f-969d-cd90293e3524 · inbound

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion cites this paper.

Explaining and Breaking the Safety-Helpfulness Ceiling via Preference Dimensional Expansion Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-14T21:12:06.989077Z digest=sha256:654bd3c751d53cce9ac9bb9b19af9a983d7abcbf8077400b24e67909de824584

Observation 52c0f561-ae77-4a62-92cb-33e206d17065 · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:58:37.155837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-15T02:37:37.989768Z digest=sha256:1be08eeaa5f61fad7f6bfaee30f6cbf7451b8fd201e01f5d41d4c4cf29e40e4b

Observation 319c6bc5-ccc8-4991-b0c7-9a9795bc842d · inbound

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation cites this paper.

NodeSynth: Socially Aligned Synthetic Data for AI Evaluation Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 3

Resolution
verified exact
local_arxiv, observed 2026-05-20T20:33:43.211299Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-05-20T20:31:34.005180Z digest=sha256:9696529ba1ce48f29335410c7e3134c2d2470c5b2ab514ecb748bbb2ae69583c

Observation 17b3463b-64dc-476c-a126-354f37191705 · inbound

Cybersecurity AI (CAI) Dataset cites this paper.

Cybersecurity AI (CAI) Dataset Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-06-29T12:13:26.894565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-29T12:07:49.656453Z digest=sha256:0edda0763e2ea695d55413d124d5f5604d88fa1dc74a60acffb3a5680c5a6f98

Observation 1fcbcf5c-fad5-44fb-986d-1a86ca18fcd1 · inbound

Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight cites this paper.

Weak Critics Make Strong Learners: On-Policy Critique Distillation for Scalable Oversight Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 22

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T19:56:11.015186Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-28T21:55:58.645062Z digest=sha256:74d4fe9dfc1b27f2f2499b4b7651f93448e3f7ecb13eb8a8b9b42cd90d6e4665

Observation dfed086e-46f2-41b1-a15d-a91cbd72635b · inbound

Large Byte Model: Teaching Language Models About Compiled Code cites this paper.

Large Byte Model: Teaching Language Models About Compiled Code Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-01T23:56:24.006558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-28T13:47:15.984105Z digest=sha256:123b8ded7a738dab0f899cc7f9497b2491be23e13b3cd0ed19a3fe5d71d89a29

Observation d6fd5351-0eb8-4da8-b990-8a3b359f2c99 · inbound

Bittensor Agent Arenas as a Trajectory Primitive: Distilling a Shopping Agent from ShoppingBench Subnet Traces cites this paper.

Bittensor Agent Arenas as a Trajectory Primitive: Distilling a Shopping Agent from ShoppingBench Subnet Traces Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-03T00:37:29.837558Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-27T17:07:39.645843Z digest=sha256:97603f328e18468f43568a3fcb727ca18a1b13600f4f7a9e169962adab6530db

Observation 62fc9779-ede5-4d76-a379-0e0aadb2db8d · inbound

REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection cites this paper.

REDACT: A Systematically Controlled Multilingual Benchmark for Personal Information Detection Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T03:49:29.837167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-26T17:40:19.599570Z digest=sha256:7a3dca8b9f12116ca793dda22f1f073399ce76528e6d25c87347830331a3cce9

Observation b3de01c3-e028-4a3a-b246-0a4379bd11f7 · inbound

Token-Operations-Oriented Inference Optimization Techniques for Large Models cites this paper.

Token-Operations-Oriented Inference Optimization Techniques for Large Models Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 166

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verified exact
local_arxiv, observed 2026-07-04T05:09:36.825681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-06-26T16:15:22.543601Z digest=sha256:f0194e5c1521646d7ac5adea4b5257e976bc95447e8f76ac75a418074024a4db

Observation 08f36d84-7ab6-42ad-b466-264d6d88ca2a · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 91

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T18:40:03.342866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-25T22:37:15.072758Z digest=sha256:e12f8834eba795e08e8c3c84ac28c89470d8165dd9598285c2f4dac9432ef8e5

Observation 8ca97f78-3d47-4874-9128-9ff638040997 · inbound

ZONOS2 Technical Report cites this paper.

ZONOS2 Technical Report Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 91

Resolution
metadata mismatch
local_arxiv, observed 2026-07-01T18:15:59.140432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-29T02:07:31.791835Z digest=sha256:01b1b5510ebf52697d4a06486fac747306297286f5e2c69d529a96a2d434c8a5

Observation 0544ae4d-0318-4d9f-bfef-ac7937908da9 · inbound

Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents cites this paper.

Ko-WideSearch: A Korean Breadth-Search Benchmark for Exhaustive Set Enumeration by Web Agents Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 56

Resolution
verified exact
local_arxiv, observed 2026-07-01T18:55:58.893690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=arxiv_source observed=2026-06-29T01:22:02.908969Z digest=sha256:2162144b8ed1d44067abcf062e4a560ed0bb74006fe24afed698963b494a86d8

Observation 81b07558-bbe2-4a38-b457-e09d8a6f18c7 · inbound

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA cites this paper.

Self-Study Reconsidered: The Hidden Fragility of Learning from Self-Generated QA Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-07-01T10:45:42.795106Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-07-21T06:31:05.380196+00:00.

source=pdf_text observed=2026-07-01T05:07:58.441326Z digest=sha256:6fec0a0e19eeab07c4614fe0a01fb459131e8ddcbb868f37bde256b23bf6c630

Observation 66eea0af-7452-413b-b4a9-020538f53763 · inbound

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy cites this paper.

ACPO: Adaptive Credit Policy Optimization via Fine-Grained Surrogate Entropy Magpie: Alignment Data Synthesis from Scratch by Prompting Aligned LLMs with Nothing

Reference 54

Resolution
unresolved
no resolver link, observed 2026-07-12T04:43:45.592808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T04:43:45.592808Z digest=sha256:596f49b2f4510c062d9bd74035053271475fe3d4516ae357e2671b9ca881678b