Paper Citation Record · LEDGER

R.I.P.: Better Models by Survival of the Fittest Prompts

As of 10 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 2 inbound Pith citation observations for arXiv:2501.18578.

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

pith.paper-citation-record.v1
2501.18578 v2

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T23:02:23.497864Z

measured 54 of 54 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-21T22:38:57.833414Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-21T22:40:43.163525Z

Reference resolution

52 of 52 outbound references displayed

verified exact0
verified fuzzy5
unresolved47
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 088a515b-a353-4116-bbe8-05b49da0f1cb · outbound

This paper cites fairseq2, 2023.

R.I.P.: Better Models by Survival of the Fittest Prompts fairseq2, 2023

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:02:24.013877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 032f0e5f-e86e-48b0-b2cc-cd125e46128e · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

R.I.P.: Better Models by Survival of the Fittest Prompts D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.291513Z

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Observation 65176a91-5dcc-4722-b4a0-f3a9ef0a97c1 · outbound

This paper cites Instruction Mining: Instruction Data Selection for Tuning Large Language Models.

R.I.P.: Better Models by Survival of the Fittest Prompts Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.296216Z

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Observation 043d662c-4c3e-4612-8d72-ee61a528b0d7 · outbound

This paper cites AlpaGasus : Training a better alpaca with fewer data.

R.I.P.: Better Models by Survival of the Fittest Prompts AlpaGasus : Training a better alpaca with fewer data

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:02:23.994919Z

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Observation ca361576-d965-4b33-b075-d1daacb75f8d · outbound

This paper cites The Llama 3 Herd of Models.

R.I.P.: Better Models by Survival of the Fittest Prompts The Llama 3 Herd of Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.305561Z

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Observation 3be94b7a-4b35-4ebc-9bcd-4d240c861c1e · outbound

This paper cites Training Compute-Optimal Large Language Models.

R.I.P.: Better Models by Survival of the Fittest Prompts Training Compute-Optimal Large Language Models

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.310342Z

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Observation be026907-4f3c-4796-95d5-70096c26e80f · outbound

This paper cites Unnatural instructions: Tuning language models with (almost) no human labor.

R.I.P.: Better Models by Survival of the Fittest Prompts Unnatural instructions: Tuning language models with (almost) no human labor

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.315366Z

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Observation 523336d3-1649-4035-b9a1-65f78a927958 · outbound

This paper cites Scaling Laws for Neural Language Models.

R.I.P.: Better Models by Survival of the Fittest Prompts Scaling Laws for Neural Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.319713Z

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Observation fdf37c09-c6c1-4d74-8cd1-f78a93dfce77 · outbound

This paper cites RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models.

R.I.P.: Better Models by Survival of the Fittest Prompts RS-DPO: A Hybrid Rejection Sampling and Direct Preference Optimization Method for Alignment of Large Language Models

Reference 9

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Observation 8714147f-b055-4c96-92c9-6185fa6b4e2e · outbound

This paper cites Tulu 3: Pushing Frontiers in Open Language Model Post-Training.

R.I.P.: Better Models by Survival of the Fittest Prompts Tulu 3: Pushing Frontiers in Open Language Model Post-Training

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.328561Z

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Observation 8e352668-96c1-4b6d-92a0-f96ef55bdbfe · outbound

This paper cites From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning.

R.I.P.: Better Models by Survival of the Fittest Prompts From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.333055Z

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Observation a9eb0aea-90fe-45b2-bbbd-1d3a9fc9b516 · outbound

This paper cites Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning.

R.I.P.: Better Models by Survival of the Fittest Prompts Superfiltering: Weak-to-Strong Data Filtering for Fast Instruction-Tuning

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.337220Z

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Observation ec844c30-dae4-4716-9004-e098f37382a8 · outbound

This paper cites E., and Stoica, I.

R.I.P.: Better Models by Survival of the Fittest Prompts E., and Stoica, I

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:02:23.983934Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 950f2f62-84ae-40ee-91e3-fb8162c46f68 · outbound

This paper cites an unresolved cited work.

R.I.P.: Better Models by Survival of the Fittest Prompts Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-09T23:02:23.972421Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation d40f78cd-e8f2-41b5-981e-2d26f649da55 · outbound

This paper cites Self-alignment with instruction backtranslation.

R.I.P.: Better Models by Survival of the Fittest Prompts Self-alignment with instruction backtranslation

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:02:23.961401Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 63ea635f-52e0-4435-ab36-647147c52f39 · outbound

This paper cites WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild.

R.I.P.: Better Models by Survival of the Fittest Prompts WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.352522Z

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Observation 64884a92-70ce-47b1-a952-bef4b85cef9f · outbound

This paper cites What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning.

R.I.P.: Better Models by Survival of the Fittest Prompts What Makes Good Data for Alignment? A Comprehensive Study of Automatic Data Selection in Instruction Tuning

Reference 17

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Observation e093f298-c893-467b-be0e-f4c785e6832d · outbound

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

R.I.P.: Better Models by Survival of the Fittest Prompts \# instag: Instruction tagging for analyzing supervised fine-tuning of large language models

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T23:02:23.949615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation e2c1ff15-ee4f-41cd-ab9d-1f8ae7849bfa · outbound

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

R.I.P.: Better Models by Survival of the Fittest Prompts SimPO: Simple Preference Optimization with a Reference-Free Reward

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.364165Z

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Observation be3516ee-0bfc-4f3a-9457-e9e0a6997e03 · outbound

This paper cites Cross-Task Generalization via Natural Language Crowdsourcing Instructions.

R.I.P.: Better Models by Survival of the Fittest Prompts Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.367908Z

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Observation b00e01a3-5dd9-49aa-8af0-8751ab8a689b · outbound

This paper cites West-of-N: Synthetic Preferences for Self-Improving Reward Models.

R.I.P.: Better Models by Survival of the Fittest Prompts West-of-N: Synthetic Preferences for Self-Improving Reward Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.371686Z

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Observation dd7e9673-ba3f-4f1e-9d2d-6d7573bf2fd1 · outbound

This paper cites Scaling Language Models: Methods, Analysis & Insights from Training Gopher.

R.I.P.: Better Models by Survival of the Fittest Prompts Scaling Language Models: Methods, Analysis & Insights from Training Gopher

Reference 22

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Observation 2ad1165e-dfa3-47d6-9927-ce7c01a1e800 · outbound

This paper cites D., Ermon, S., and Finn, C.

R.I.P.: Better Models by Survival of the Fittest Prompts D., Ermon, S., and Finn, C

Reference 23

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Observation 8ee046fb-3225-43ae-8815-6806024b0ab6 · outbound

This paper cites D., Ermon, S., and Finn, C.

R.I.P.: Better Models by Survival of the Fittest Prompts D., Ermon, S., and Finn, C

Reference 24

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Observation 2bfa95ba-757b-433a-bc78-ee6ff1fbb786 · outbound

This paper cites Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research.

R.I.P.: Better Models by Survival of the Fittest Prompts Dolma: an Open Corpus of Three Trillion Tokens for Language Model Pretraining Research

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.387278Z

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Observation 83001642-0574-41eb-baf2-025f927a41ea · outbound

This paper cites an unresolved cited work.

R.I.P.: Better Models by Survival of the Fittest Prompts Unresolved cited work

Reference 26

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Observation 34499d20-f22d-447d-9e4e-9cffc5a5e3ae · outbound

This paper cites An Empirical Study of Example Forgetting during Deep Neural Network Learning.

R.I.P.: Better Models by Survival of the Fittest Prompts An Empirical Study of Example Forgetting during Deep Neural Network Learning

Reference 27

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Observation 1b2c24a7-d21c-4da1-b3e7-a6c2da91c58d · outbound

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R.I.P.: Better Models by Survival of the Fittest Prompts LLaMA: Open and Efficient Foundation Language Models

Reference 28

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Observation d3c4f86b-e654-48de-8cc7-16be280cfe33 · outbound

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

R.I.P.: Better Models by Survival of the Fittest Prompts Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 29

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Observation 6b6b7f60-0c5e-4956-a978-5c3389a3891c · outbound

This paper cites Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts.

R.I.P.: Better Models by Survival of the Fittest Prompts Interpretable Preferences via Multi-Objective Reward Modeling and Mixture-of-Experts

Reference 30

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Observation dbb9b81a-045a-412f-8da2-d9ae0136586b · outbound

This paper cites Self-Taught Evaluators.

R.I.P.: Better Models by Survival of the Fittest Prompts Self-Taught Evaluators

Reference 31

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Observation 2bce08ba-c0e3-494e-8c5e-53c7d3fd1d04 · outbound

This paper cites Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks.

R.I.P.: Better Models by Survival of the Fittest Prompts Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 32

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Observation cb9c149d-65eb-4e7c-b56c-63170954d449 · outbound

This paper cites A., Khashabi, D., and Hajishirzi, H.

R.I.P.: Better Models by Survival of the Fittest Prompts A., Khashabi, D., and Hajishirzi, H

Reference 33

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Observation 19f7cfba-beb8-46ec-a317-a83a09299070 · outbound

This paper cites HelpSteer2: Open-source dataset for training top-performing reward models.

R.I.P.: Better Models by Survival of the Fittest Prompts HelpSteer2: Open-source dataset for training top-performing reward models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.423998Z

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Observation 00d7ed39-2834-4e58-ada3-f6af882559da · outbound

This paper cites Finetuned Language Models Are Zero-Shot Learners.

R.I.P.: Better Models by Survival of the Fittest Prompts Finetuned Language Models Are Zero-Shot Learners

Reference 35

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Observation ef134bbb-3b20-4cc5-98f7-5003f38a2c54 · outbound

This paper cites $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$.

R.I.P.: Better Models by Survival of the Fittest Prompts $\beta$-DPO: Direct Preference Optimization with Dynamic $\beta$

Reference 36

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Observation 1d3e5a2d-2572-493a-8087-6c71dbadafcb · outbound

This paper cites Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge.

R.I.P.: Better Models by Survival of the Fittest Prompts Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 37

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Observation 843288a1-07cf-45c3-a358-a839a71c8e79 · outbound

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

R.I.P.: Better Models by Survival of the Fittest Prompts LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 38

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Observation 0208ccbf-3f1b-42ec-9fd9-3dddf4611d86 · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

R.I.P.: Better Models by Survival of the Fittest Prompts WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 39

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Observation 7584f96d-78bb-426f-ae07-719805ca0e8a · outbound

This paper cites Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss.

R.I.P.: Better Models by Survival of the Fittest Prompts Some things are more CRINGE than others: Iterative Preference Optimization with the Pairwise Cringe Loss

Reference 40

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Observation a233c40c-5416-4fbe-ace5-5e205afcd03e · outbound

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R.I.P.: Better Models by Survival of the Fittest Prompts Dataset Pruning: Reducing Training Data by Examining Generalization Influence

Reference 41

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Observation fb615231-627b-4ea0-898d-a95c49b92f9e · outbound

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R.I.P.: Better Models by Survival of the Fittest Prompts ALMA: Alignment with Minimal Annotation

Reference 42

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Observation dc3cddc7-a944-4eb8-abe5-5ebc5e5f8070 · outbound

This paper cites Following Length Constraints in Instructions.

R.I.P.: Better Models by Survival of the Fittest Prompts Following Length Constraints in Instructions

Reference 43

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Observation b4614939-f65f-498c-ba8e-558429aeeaa8 · outbound

This paper cites Self-Rewarding Language Models.

R.I.P.: Better Models by Survival of the Fittest Prompts Self-Rewarding Language Models

Reference 44

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Observation 76d47309-bc0b-49f7-8d85-feb5c2b3a050 · outbound

This paper cites Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning.

R.I.P.: Better Models by Survival of the Fittest Prompts Long Is More for Alignment: A Simple but Tough-to-Beat Baseline for Instruction Fine-Tuning

Reference 45

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Observation 10024cf4-e9a0-4181-b0c9-e874effb8dc9 · outbound

This paper cites WildChat: 1M ChatGPT Interaction Logs in the Wild.

R.I.P.: Better Models by Survival of the Fittest Prompts WildChat: 1M ChatGPT Interaction Logs in the Wild

Reference 46

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Observation 8b52fcdd-cb67-4374-b8e1-740c4ebca41f · outbound

This paper cites E., and Stoica, I.

R.I.P.: Better Models by Survival of the Fittest Prompts E., and Stoica, I

Reference 47

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Observation 793abce6-7ac6-4980-83a8-19666636fe00 · outbound

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R.I.P.: Better Models by Survival of the Fittest Prompts Lima: Less is more for alignment

Reference 48

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Observation 82c15b39-e339-43e8-b9bc-643ea8150da6 · outbound

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R.I.P.: Better Models by Survival of the Fittest Prompts write newline

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.484849Z

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Observation a4bef4e5-287a-4e2e-b837-1711826dc880 · outbound

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R.I.P.: Better Models by Survival of the Fittest Prompts @esa (Ref

Reference 50

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Observation db192503-e57c-4032-965e-e751cab7da39 · outbound

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R.I.P.: Better Models by Survival of the Fittest Prompts Unresolved cited work

Reference 51

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Observation d84aa2f9-9368-4bd6-ae84-e415f5b17c81 · outbound

This paper cites an unresolved cited work.

R.I.P.: Better Models by Survival of the Fittest Prompts Unresolved cited work

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-09T23:02:23.497864Z

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Pith citing papers

Observation cad5629a-23ce-4a9a-a1c1-4f21956dd021 · inbound

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training cites this paper.

Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training R.I.P.: Better Models by Survival of the Fittest Prompts

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:40:43.166258Z

Source-reported events for the cited work

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Observation d195fc2d-3e89-4bb8-9b2d-8f7737590eb8 · inbound

Characterizing Model-Native Skills cites this paper.

Characterizing Model-Native Skills R.I.P.: Better Models by Survival of the Fittest Prompts

Reference 71

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.