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Paper Citation Record · LEDGER

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training

As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2607.27273.

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

pith.paper-citation-record.v1
2607.27273 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T10:52:24.297017Z

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d721d2d5-c085-42bb-9711-f6d3d91076f6 · outbound

This paper cites Advances in neural information processing systems , volume=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Advances in neural information processing systems , volume=

Reference 1

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source=arxiv_source observed=2026-08-01T10:52:17.692345Z digest=sha256:2048d4d0b9f2a5cccaeecabfbdc03693252528363e7db48f893dabf28f86cd5f

Observation 835062ad-abb7-4a0f-95c5-bd8b3fec2c75 · outbound

This paper cites Advances in neural information processing systems , volume=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Advances in neural information processing systems , volume=

Reference 2

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source=arxiv_source observed=2026-08-01T10:52:17.767880Z digest=sha256:d133751dfef8a9b5c0d79551f6939cc79094eb3349a2800a20078cfb185b5efa

Observation e8e7a042-6a9e-4b0e-92c5-8b0a0a805451 · outbound

This paper cites DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Reference 3

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source=arxiv_source observed=2026-08-01T10:52:17.926668Z digest=sha256:b20ab4dc4d7a29e6e8d859f2f014e7f02a68704de5296410daa35a983e7a217b

Observation 0f173f0b-d037-4e80-bcf8-86d5c05ee5e8 · outbound

This paper cites Scaling Laws for Neural Language Models.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Scaling Laws for Neural Language Models

Reference 4

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source=arxiv_source observed=2026-08-01T10:52:18.069020Z digest=sha256:51de64f279dedf7a4431b829f5da3a921d93d2a470e1e59ea93172f2def4e90c

Observation 7f208289-5cac-48f5-8828-bf7cee8b9a9c · outbound

This paper cites Proceedings of the 2023 SIAM international conference on data mining (SDM) , pages=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Proceedings of the 2023 SIAM international conference on data mining (SDM) , pages=

Reference 5

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source=arxiv_source observed=2026-08-01T10:52:18.216822Z digest=sha256:d657a41e8c5788b5f52822d6d0eb0e26fdc201e073521d70cc0f1c332b681823

Observation e643e61b-2771-459f-9a84-d81f9a3a4aba · outbound

This paper cites International conference on machine learning , pages=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International conference on machine learning , pages=

Reference 6

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no resolver link, observed 2026-08-01T10:52:18.379953Z

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source=arxiv_source observed=2026-08-01T10:52:18.379953Z digest=sha256:f07bb556163f73d2d9eb12f3e74507196beeb4182070d8f02f1f41be502673ae

Observation 81059cfc-b9c2-40c5-98f1-f8cd2ba5a918 · outbound

This paper cites Advances in neural information processing systems , volume=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Advances in neural information processing systems , volume=

Reference 7

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source=arxiv_source observed=2026-08-01T10:52:18.597004Z digest=sha256:ea77c3128db92cc551fcda2d955f3730a5ebe122ac2d7fde385cca32f84b3ee1

Observation cf052e4a-8e27-45b3-8e74-b8b4b7d7a850 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations , volume=

Reference 8

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source=arxiv_source observed=2026-08-01T10:52:18.816697Z digest=sha256:20f1f99647418c3ceb1ba9a9ba2f85b1907bce403a49920675db57ef8cffc23f

Observation ae92028b-9090-43f1-b779-6ca9cca80a4b · outbound

This paper cites LESS: Selecting Influential Data for Targeted Instruction Tuning.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 9

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source=arxiv_source observed=2026-08-01T10:52:18.942456Z digest=sha256:3b768bf624a1e6a0b0d90a20dd7f1570613d5ab331aa76641e80500e52ed039b

Observation e731c403-a7ca-458f-8dc6-f21f5124b674 · outbound

This paper cites Proceedings of the 26th annual international conference on machine learning , pages=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Proceedings of the 26th annual international conference on machine learning , pages=

Reference 10

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source=arxiv_source observed=2026-08-01T10:52:19.053934Z digest=sha256:0a4ecba55afb67a35ee4c84b1dc52a4cfab4830457674ed523873e060d6537e1

Observation eda6e8ef-9f26-4316-9229-a7d50b6ca421 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Machine Learning , year=

Reference 11

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source=arxiv_source observed=2026-08-01T10:52:19.147921Z digest=sha256:1d43648a89036ce83850616c3e374818e8c45e50e5cfdef4c80ab94789b13f3b

Observation 6f6737e1-764a-421b-a112-b6e6180ff0c2 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations , year=

Reference 12

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source=arxiv_source observed=2026-08-01T10:52:19.318621Z digest=sha256:479b926d82f269f6e1a316df0bdc29eb3f4edb744a7ebf07c5f2492fd82d8082

Observation 7e071494-67e4-461c-af69-4a970107b92e · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations , year=

Reference 13

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source=arxiv_source observed=2026-08-01T10:52:19.479120Z digest=sha256:1397e320ca667484e3a6cd80535404ba0e53dcd5c0fd294886ea7ffab5a118ba

Observation b2718c51-3cf1-41b8-8a79-f375d0ec7ecb · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Machine Learning , year=

Reference 14

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source=arxiv_source observed=2026-08-01T10:52:19.658107Z digest=sha256:5c1f19f23f486ec26757171def5fc488ddf52f88ab3705a8f96d0537656f6f5b

Observation cab07af9-8d3f-4bf4-87b8-07d1ef2e740b · outbound

This paper cites DAPO: An Open-Source LLM Reinforcement Learning System at Scale.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training DAPO: An Open-Source LLM Reinforcement Learning System at Scale

Reference 15

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source=arxiv_source observed=2026-08-01T10:52:19.859043Z digest=sha256:b2baa3c3aa8f91a9de0849237b7b298f633781926fd80fb3309da14ad5820285

Observation 17b9670b-e5ff-4d09-83e2-99b978a92e92 · outbound

This paper cites Group Sequence Policy Optimization.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Group Sequence Policy Optimization

Reference 16

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source=arxiv_source observed=2026-08-01T10:52:20.031774Z digest=sha256:df82110a5041745b870b762b381405108dd214f5f4af9873fc132e68fa79d445

Observation 60272864-fa34-4028-b781-1e9a770501f9 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Forty-third International Conference on Machine Learning , year=

Reference 17

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source=arxiv_source observed=2026-08-01T10:52:20.227778Z digest=sha256:990101f6a0b2a73e6d3d2954bcfc368638822b05ffdb9b79537f9ab756739da3

Observation eaae5706-b746-40fc-ac27-e37417542427 · outbound

This paper cites International Journal of Computer Vision , volume=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Journal of Computer Vision , volume=

Reference 18

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source=arxiv_source observed=2026-08-01T10:52:20.400880Z digest=sha256:f445b82e5484ae7032e40061725aab13f8252cb2e2085d10ad8cb720344c455b

Observation 77b8d0d6-cdb6-474d-9fea-ff924f454d6e · outbound

This paper cites an unresolved cited work.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Unresolved cited work

Reference 19

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source=arxiv_source observed=2026-08-01T10:52:20.593946Z digest=sha256:300a1ff30822164063a1f7524ef225393eddf5c8400df1f806471802d67ddb34

Observation 83405a0b-1511-45ea-92d0-097324599d2a · outbound

This paper cites CITING: Large Language Models Create Curriculum for Instruction Tuning.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training CITING: Large Language Models Create Curriculum for Instruction Tuning

Reference 20

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source=arxiv_source observed=2026-08-01T10:52:20.727419Z digest=sha256:d63ea9a835a773ba626ecd442cba9bd1a1e5175b8612da4bf3d63e160bd19fa3

Observation 8177b3e4-38de-4159-9127-fb7cec52502a · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations , volume=

Reference 21

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Observation e637b0b8-70a0-4ff7-8b36-0001333bf91f · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Advances in Neural Information Processing Systems , volume=

Reference 22

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Observation 78cdf958-62b0-4071-9df6-18b102e4ddcf · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 23

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source=arxiv_source observed=2026-08-01T10:52:21.184842Z digest=sha256:99bf725d26eae4c8468204141e0fffee3c199405fa2703efa085f56ed326b8a0

Observation 18d924b3-d753-4e84-bdca-911b30d375f6 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations , volume=

Reference 24

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source=arxiv_source observed=2026-08-01T10:52:21.427778Z digest=sha256:0c8ddf4e661091a9af5b1f614def283c37eb999e9c7fb4d6a66795b82367631d

Observation cfa73b4a-0570-455d-be93-0486afcb4ffd · outbound

This paper cites NEURIPS 2023 , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training NEURIPS 2023 , year=

Reference 25

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Observation 156ad8e8-39d6-468f-b726-9a7a5f104bc8 · outbound

This paper cites IEEE transactions on neural networks and learning systems , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training IEEE transactions on neural networks and learning systems , year=

Reference 26

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source=arxiv_source observed=2026-08-01T10:52:21.844519Z digest=sha256:71e588107293c177eb204e9171957b947155024f24c98bb86dcfbbf1819dad64

Observation fafc04f0-762a-4fa1-8646-1a76fba25c15 · outbound

This paper cites ICLR 2024 , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training ICLR 2024 , year=

Reference 27

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Observation 39f14ec0-316f-44b0-bd0a-b7a7b9ceb97b · outbound

This paper cites ICLR 2024 , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training ICLR 2024 , year=

Reference 28

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Observation 8034b60e-febe-45c5-b1a2-9cbbff9c2ad1 · outbound

This paper cites ICLR 2024 , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training ICLR 2024 , year=

Reference 29

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Observation 8735d8bf-f643-4c1e-94a9-d5e1126815be · outbound

This paper cites CoRR , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training CoRR , year=

Reference 30

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Observation 0f25d693-9069-4ff1-b237-8b3a2ff0c34c · outbound

This paper cites Nips , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Nips , year=

Reference 31

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source=arxiv_source observed=2026-08-01T10:52:22.896464Z digest=sha256:eadc12ed41be889ce1a910276650e809390215318bef88aae4ab92322bdaa821

Observation 032c0d71-07fb-4c0d-bd16-f7f82db21101 · outbound

This paper cites Mathematical Programming , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Mathematical Programming , year=

Reference 32

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no resolver link, observed 2026-08-01T10:52:23.033062Z

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source=arxiv_source observed=2026-08-01T10:52:23.033062Z digest=sha256:c94fb3f79725fc5eb1a4d0c07d41947c4b4fe337de13bf2c7681d611977bc57f

Observation f492076b-0b98-4c24-bd67-32a7156bb28e · outbound

This paper cites ICLR 2020 , year=.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training ICLR 2020 , year=

Reference 33

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source=arxiv_source observed=2026-08-01T10:52:23.135568Z digest=sha256:91e35cb52b89f59bc270bd3202770e045a4e9b7c0d2cd4ff900748540d3f0378

Observation 0a097e85-b551-4705-b535-90ab3811ce7c · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Training Verifiers to Solve Math Word Problems

Reference 34

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source=arxiv_source observed=2026-08-01T10:52:23.207643Z digest=sha256:1e4ca4f88e9b43c3192b7df0a9913110e679e7b8a1a2cf36a4c40b3bcd345599

Observation 30388c7a-88cf-4e1b-8775-d7221a9c5dd1 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training UltraFeedback: Boosting Language Models with Scaled AI Feedback

Reference 35

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source=arxiv_source observed=2026-08-01T10:52:23.276407Z digest=sha256:bacb8bf13f30b8a842a36d8b4e7e5b705daefb0dca4d00ed7235fe8db4482422

Observation b639e471-2f30-4ede-a8bc-b650b81cc336 · outbound

This paper cites Advances in Neural Information Processing Systems (NeurIPS) , year =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Advances in Neural Information Processing Systems (NeurIPS) , year =

Reference 36

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Observation 62c620ee-7b87-4cdf-844a-e118ffb7a889 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations (ICLR) , year =

Reference 37

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source=arxiv_source observed=2026-08-01T10:52:23.437448Z digest=sha256:c97db57246ce639fdfa2955d1f769f34e96e726312365c845a05cb15781ef0a5

Observation 0f5a43f4-c1fe-452a-8d14-b69fa6282034 · outbound

This paper cites SIAM Review , volume =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training SIAM Review , volume =

Reference 38

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source=arxiv_source observed=2026-08-01T10:52:23.510477Z digest=sha256:6890413119d2b54b2514c18ba32cd111a2bf1e6e63be0fdda23e73ab3fd7d1dc

Observation 6e8d2bab-1526-48a6-9048-15de2ecb5576 · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations (ICLR) , year =

Reference 39

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Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T10:52:23.582475Z digest=sha256:ee2b1850cb98b42129fbcbcfea23b1b755eb66cc4dec47df75cac9b4139960b3

Observation 8ca0714a-17e3-44f4-b796-b2b6548f2dbc · outbound

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

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training International Conference on Learning Representations (ICLR) , year =

Reference 40

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no resolver link, observed 2026-08-01T10:52:23.654869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:23.654869Z digest=sha256:a297c2f499197ea574920698014e7b64f484f1f5716e4490fed67667f99dfc99

Observation 31a09207-3ff7-4393-92f2-4ab3c41e68fc · outbound

This paper cites 2004 , isbn =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training 2004 , isbn =

Reference 41

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no resolver link, observed 2026-08-01T10:52:23.728160Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:23.728160Z digest=sha256:828ee63cfd01546bd0ddf9cca0de879899cfda5afbb23bef4e18f76971f967bb

Observation 6e4d936a-c88f-403a-a1f0-a2071a2640a4 · outbound

This paper cites arXiv preprint arXiv:2509.12541 , year =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training arXiv preprint arXiv:2509.12541 , year =

Reference 42

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no resolver link, observed 2026-08-01T10:52:23.798271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:23.798271Z digest=sha256:2b9c25abc27901196c1b08f44aaad974e63774e861f9c912109aa768df9d2d85

Observation 631aa200-dac9-4779-98d8-9522ab52312f · outbound

This paper cites Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining , pages =

Reference 43

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unresolved
no resolver link, observed 2026-08-01T10:52:23.869484Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:23.869484Z digest=sha256:6e97a2fe9f8e46b9e11502da75c17ec6b0298f354e913af22a15ffdb9fc06d7e

Observation a1fdc7a7-db5b-4972-b5b6-871b51061aa1 · outbound

This paper cites Proceedings of the 43rd International Conference on Machine Learning (ICML) , year =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Proceedings of the 43rd International Conference on Machine Learning (ICML) , year =

Reference 44

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no resolver link, observed 2026-08-01T10:52:23.912356Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:23.912356Z digest=sha256:a475e564416cb78a50385c13b865273fa26e873e9c038c14cc9cb6808676b1a8

Observation 21d3d2bc-d1ba-4e52-a21b-962646a9b67c · outbound

This paper cites Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) , pages =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS) , pages =

Reference 45

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no resolver link, observed 2026-08-01T10:52:23.988872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:23.988872Z digest=sha256:a82affbd010fe88b995101a6e1776e49b23a513b1decce7e59ee1caf844f03e4

Observation f1ca87e7-cd39-4083-883a-ad34019992de · outbound

This paper cites Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL) , year =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (ACL) , year =

Reference 46

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no resolver link, observed 2026-08-01T10:52:24.112505Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:24.112505Z digest=sha256:dd6b84f232773f36b4fccef63f54bd95e45ac65197554162d7b11b451bafcf06

Observation c574fd4e-8767-413a-a51e-7823ea9a3656 · outbound

This paper cites arXiv preprint arXiv:2510.01135 , year =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training arXiv preprint arXiv:2510.01135 , year =

Reference 47

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no resolver link, observed 2026-08-01T10:52:24.173135Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-08-01T10:52:24.173135Z digest=sha256:cca585272b1b35f6b326719465e8864ba571e8006cc46621665ac6e369fe394e

Observation 569121b9-8356-4f62-bffb-bf3f93d31f39 · outbound

This paper cites arXiv preprint , year =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training arXiv preprint , year =

Reference 48

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no resolver link, observed 2026-08-01T10:52:24.245546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:24.245546Z digest=sha256:8ea683fd14ec23260649ddfcbd2f1fc9a93c12515b9adc7f9333e865d52a3548

Observation 8afc148d-08b6-416b-bd57-802aa007a3d5 · outbound

This paper cites Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL) , year =.

SDO: Structure-Aware Data Organization for Efficient LLM Post-Training Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (ACL) , year =

Reference 49

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no resolver link, observed 2026-08-01T10:52:24.297017Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T10:52:24.297017Z digest=sha256:536253f042971bd1e57c48f755df63f76ba43ef7542fad1d3cc9f37adbf661ce

Pith citing papers

No inbound Pith citation observations are available.