Paper Citation Record · LEDGER

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization

As of 18 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2608.11746.

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

pith.paper-citation-record.v1
2608.11746 v1

Coverage vector

measured 47 of 47 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T00:34:17.381474Z

measured 47 of 47 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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

47 of 47 outbound references displayed

verified exact0
verified fuzzy14
unresolved33
parse uncertain0
malformed identifier0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 564da2ae-2488-4661-bd07-c0d1c5cf34b1 · outbound

This paper cites Scaling data-constrained language models.Advances in Neural Information Processing Systems, 36:50358–50376, 2023.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Scaling data-constrained language models.Advances in Neural Information Processing Systems, 36:50358–50376, 2023

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.212981Z

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Observation b1f4aec5-f979-4dc8-8e37-44aabcbcc81a · outbound

This paper cites Position: Will we run out of data? limits of llm scaling based on human-generated data.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Position: Will we run out of data? limits of llm scaling based on human-generated data

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.148006Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation f80a9f01-918f-46e5-9b9c-5cc441644f97 · outbound

This paper cites DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization DoReMi: Optimizing Data Mixtures Speeds Up Language Model Pretraining

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.221331Z

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Observation 47c813a3-314a-4b14-87fd-507cbab29656 · outbound

This paper cites Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Adaptive Data Optimization: Dynamic Sample Selection with Scaling Laws

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.225905Z

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Observation 4b51c478-e96d-4c08-9b50-0907178bc39e · outbound

This paper cites RegMix: Data Mixture as Regression for Language Model Pre-training.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization RegMix: Data Mixture as Regression for Language Model Pre-training

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.230183Z

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Observation 236b8adc-e2d2-4549-aeef-099e09196cb8 · outbound

This paper cites DoGE: Domain Reweighting with Generalization Estimation.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization DoGE: Domain Reweighting with Generalization Estimation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.234734Z

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Observation 9e5be6e5-1fb9-4f6c-973e-6ce9a0168607 · outbound

This paper cites Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Skill-it! A Data-Driven Skills Framework for Understanding and Training Language Models

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.239067Z

Source-reported events for the cited work

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Observation 912bf39a-1abd-4b6a-b5da-0ecdc1a9d024 · outbound

This paper cites Data Selection via Optimal Control for Language Models.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Data Selection via Optimal Control for Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.243027Z

Source-reported events for the cited work

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Observation 4bdffa88-9637-46c2-bd04-a65fbe767426 · outbound

This paper cites Towards Optimal Learning of Language Models.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Towards Optimal Learning of Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.246833Z

Source-reported events for the cited work

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Observation dc581d0e-db46-4a2b-bded-98b9348ff911 · outbound

This paper cites Rho-1: Not All Tokens Are What You Need.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Rho-1: Not All Tokens Are What You Need

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.250259Z

Source-reported events for the cited work

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Observation 7a420029-0e90-436c-9dd0-24c2629281c2 · outbound

This paper cites Curriculum learning.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Curriculum learning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.253596Z

Source-reported events for the cited work

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Observation d1d202d0-4250-4300-9ead-82910cc0c201 · outbound

This paper cites Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Strategic Data Ordering: Enhancing Large Language Model Performance through Curriculum Learning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.256992Z

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Observation 1594541e-93ff-4b00-9bbe-f8a26a42b6ad · outbound

This paper cites Temporal difference learning and td-gammon.Commun.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Temporal difference learning and td-gammon.Commun

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.260570Z

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Observation 9180d95a-98a8-4fed-8bb9-83aa22590838 · outbound

This paper cites Sifre, Dharshan Kumaran, Thore Graepel, Timothy P.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Sifre, Dharshan Kumaran, Thore Graepel, Timothy P

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.136874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 2306db94-c3dd-49db-ace1-062b5ba457a4 · outbound

This paper cites Self-play fine-tuning converts weak language models to strong language models.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Self-play fine-tuning converts weak language models to strong language models

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.124289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 127405af-3ddd-4f0b-9bc9-8e713e6762e7 · outbound

This paper cites Self-Rewarding Language Models.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Self-Rewarding Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.270880Z

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Observation 8b5b6ef9-63d1-4853-a13d-e45c9164050b · outbound

This paper cites Spiral: Self-play on zero-sum games incentivizes reasoning via multi-agent multi-turn reinforcement learning.ArXiv, abs/2506.24119, 2025.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Spiral: Self-play on zero-sum games incentivizes reasoning via multi-agent multi-turn reinforcement learning.ArXiv, abs/2506.24119, 2025

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.274647Z

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Observation a6b3c701-3d51-4a4b-9ae2-f226b293e2d0 · outbound

This paper cites Self-playing Adversarial Language Game Enhances LLM Reasoning.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Self-playing Adversarial Language Game Enhances LLM Reasoning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.277928Z

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Observation 5e023ea9-2c9f-4e78-9d66-753335d69766 · outbound

This paper cites Absolute Zero: Reinforced Self-play Reasoning with Zero Data.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Absolute Zero: Reinforced Self-play Reasoning with Zero Data

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.281650Z

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Observation d008fcb2-8cef-4dfe-8491-25b6d31bfe81 · outbound

This paper cites Zico Kolter, and Andrew Gordon Wilson.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Zico Kolter, and Andrew Gordon Wilson

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.285697Z

Source-reported events for the cited work

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Observation 6b214e6a-cfd6-4ceb-a977-1416ec597191 · outbound

This paper cites Sample efficient reinforce- ment learning with reinforce.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Sample efficient reinforce- ment learning with reinforce

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.111964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation caf3bfd7-63d1-4387-83bd-368612e70356 · outbound

This paper cites Sutton, David A.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Sutton, David A

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.099377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation c5fbb800-4667-41e7-978e-067627121d65 · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.296304Z

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Observation 0d46791c-272a-4d9e-ba6d-446e26ce276c · outbound

This paper cites The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization The Common Pile v0.1: An 8TB Dataset of Public Domain and Openly Licensed Text

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.300088Z

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Observation 9d1607fb-6d1c-4d05-b1dd-2d0a98293f76 · outbound

This paper cites Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet Learnt

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.303701Z

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Observation f16cedd1-9398-45f5-a5c0-58fbc4cf264e · outbound

This paper cites Scaling Laws for Neural Language Models.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Scaling Laws for Neural Language Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.307346Z

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Observation fe5f4a15-e47a-497c-8dfd-4019323b6706 · outbound

This paper cites Training Compute-Optimal Large Language Models.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Training Compute-Optimal Large Language Models

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.311115Z

Source-reported events for the cited work

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Observation 20cc0fe6-1795-4488-8905-d46c2decd63c · outbound

This paper cites Maddison, Arthur Guez, L.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Maddison, Arthur Guez, L

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.315533Z

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Observation f83f869b-54b0-4013-8852-fd957364ec55 · outbound

This paper cites Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Driven by Compression Progress: A Simple Principle Explains Essential Aspects of Subjective Beauty, Novelty, Surprise, Interestingness, Attention, Curiosity, Creativity, Art, Science, Music, Jokes

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.318993Z

Source-reported events for the cited work

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Observation 3117067a-68cd-4abb-8101-7f92827fab20 · outbound

This paper cites A possibility for implementing curiosity and boredom in model-building neural controllers.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization A possibility for implementing curiosity and boredom in model-building neural controllers

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.081034Z

Source-reported events for the cited work

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Observation 180b3837-f7e6-4bda-b242-d08487103955 · outbound

This paper cites an unresolved cited work.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Unresolved cited work

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.326605Z

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Observation aa00d97f-d8c0-4415-8304-ea323199a2f1 · outbound

This paper cites Active learning literature survey, 2009.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Active learning literature survey, 2009

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.330222Z

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Observation c49caa43-cf8b-48d0-8c15-2f73230e69a5 · outbound

This paper cites Bayesian Active Learning for Classification and Preference Learning.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Bayesian Active Learning for Classification and Preference Learning

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.333543Z

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Observation 16cf1a20-89ba-4acc-81eb-62a8a3785fbc · outbound

This paper cites Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Intrinsic Motivation and Automatic Curricula via Asymmetric Self-Play

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.337282Z

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Observation 2e294084-7b3e-4d66-a35b-9aa1c872561a · outbound

This paper cites Teacher–student curriculum learning.IEEE Transactions on Neural Networks and Learning Systems, 31:3732–3740, 2017.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Teacher–student curriculum learning.IEEE Transactions on Neural Networks and Learning Systems, 31:3732–3740, 2017

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.062492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 731d5295-377a-4a8f-9e72-35c4f777533b · outbound

This paper cites Llama 2: Open foundation and fine-tuned chat models,.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Llama 2: Open foundation and fine-tuned chat models,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.049345Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4e0e2b77-8f3f-4cbd-b1db-3bb14e68bb77 · outbound

This paper cites A framework for few-shot language model evaluation, 07 2024.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization A framework for few-shot language model evaluation, 07 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.350858Z

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Observation 566030ec-3ed9-4d37-a267-488241092098 · outbound

This paper cites Gomez, Lukasz Kaiser, and Illia Polosukhin.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Gomez, Lukasz Kaiser, and Illia Polosukhin

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.353692Z

Source-reported events for the cited work

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Observation 35a4a747-d357-49e7-99e5-2a7396786f0e · outbound

This paper cites Rusu, Joel Veness, Marc G.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Rusu, Joel Veness, Marc G

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.022948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 11e71655-e06a-40e5-ac6a-ed53e4f02488 · outbound

This paper cites Self-improving reactive agents based on reinforcement learning, planning and teaching.Machine Learning, 8:293–321, 1992.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Self-improving reactive agents based on reinforcement learning, planning and teaching.Machine Learning, 8:293–321, 1992

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.013159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation b4ff69c9-7424-4a1d-ad11-c74c1cf5eaac · outbound

This paper cites Lan- guage Models are Unsupervised Multitask Learners.OpenAI, 2019.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Lan- guage Models are Unsupervised Multitask Learners.OpenAI, 2019

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:18.003064Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 64c7b08e-987b-4544-95dc-7599ae92c84a · outbound

This paper cites Openwebtext corpus.http: //Skylion007.github.io/OpenWebTextCorpus, 2019.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Openwebtext corpus.http: //Skylion007.github.io/OpenWebTextCorpus, 2019

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:17.991160Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 915063fb-6a73-490f-abe5-0f11dd57364d · outbound

This paper cites an unresolved cited work.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.370828Z

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Observation 814d61bb-3906-40d8-9e2e-b1a50eae867a · outbound

This paper cites Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.374272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0ec2757a-a705-4756-8fe2-f183289ef91a · outbound

This paper cites Steeves, Joel Hestness, and Nolan Dey.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Steeves, Joel Hestness, and Nolan Dey

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:17.971788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 12f517ba-f98e-4933-8de6-fff50d7c9eec · outbound

This paper cites how much.

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization how much

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T00:34:17.959209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

Observation 4170cd28-f6eb-42cb-a2c7-f95bfd077623 · outbound

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

Epiplexity Guided Data Selection and Generation for Out-of-Distribution Generalization Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T00:34:17.347479Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.