Paper Citation Record · LEDGER

Efficient Data Selection at Scale via Influence Distillation

As of 21 August 2026, this Paper Citation Record lists 73 of 73 outbound references and 1 inbound Pith citation observation for arXiv:2505.19051.

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

pith.paper-citation-record.v1
2505.19051 v1

Coverage vector

measured 73 of 73 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:25:22.360806Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T17:01:21.521025Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:04:56.636609Z

Reference resolution

73 of 73 outbound references displayed

verified exact3
verified fuzzy24
unresolved46
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8fbc55e1-4d0d-4961-b324-4f89de4aa9fe · outbound

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

Efficient Data Selection at Scale via Influence Distillation LESS: Selecting Influential Data for Targeted Instruction Tuning

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:17.393085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3d6ef85e-3975-4139-be2b-80015db191cc · outbound

This paper cites Compute-Constrained Data Selection.

Efficient Data Selection at Scale via Influence Distillation Compute-Constrained Data Selection

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:17.780704Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f876d2a2-41fd-4918-908b-e958932f7cad · outbound

This paper cites Selecting Informative Contexts Improves Language Model Finetuning.

Efficient Data Selection at Scale via Influence Distillation Selecting Informative Contexts Improves Language Model Finetuning

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:25:23.404674Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d619e2ab-6886-44f8-9a45-7f500f198bcc · outbound

This paper cites When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale.

Efficient Data Selection at Scale via Influence Distillation When Less is More: Investigating Data Pruning for Pretraining LLMs at Scale

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.051571Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19b78a8c-059c-4d4e-a570-b9b7eac4fa33 · outbound

This paper cites Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models.

Efficient Data Selection at Scale via Influence Distillation Perplexed by Perplexity: Perplexity-Based Data Pruning With Small Reference Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.158554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21e7f305-db1c-408e-8639-e83c44e0de5f · outbound

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

Efficient Data Selection at Scale via Influence Distillation From Quantity to Quality: Boosting LLM Performance with Self-Guided Data Selection for Instruction Tuning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.225316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1842ce34-e2e5-4790-8ad3-bdc80f01ace0 · outbound

This paper cites Large-Scale Data Selection for Instruction Tuning.

Efficient Data Selection at Scale via Influence Distillation Large-Scale Data Selection for Instruction Tuning

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.318477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79ee8196-a446-4fcb-9266-7f377ae89de4 · outbound

This paper cites Woodruff, and Michael Wunder.

Efficient Data Selection at Scale via Influence Distillation Woodruff, and Michael Wunder

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:24.098253Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 60b8b8ae-e7a5-4c03-bf9d-c1d4aa4238b1 · outbound

This paper cites Data selection for language models via importance resampling.

Efficient Data Selection at Scale via Influence Distillation Data selection for language models via importance resampling

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:24.078640Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb7a900b-430a-47e6-9e52-c239a7a5ec99 · outbound

This paper cites DsDm: Model-Aware Dataset Selection with Datamodels.

Efficient Data Selection at Scale via Influence Distillation DsDm: Model-Aware Dataset Selection with Datamodels

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.604677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5eec917-9062-45a4-bfdc-781b790f61e1 · outbound

This paper cites Dynimpt: A dynamic data selection method for improving model training efficiency.

Efficient Data Selection at Scale via Influence Distillation Dynimpt: A dynamic data selection method for improving model training efficiency

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:24.058162Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 11e1d17c-c31b-4f87-8cb3-e328be64f6f9 · outbound

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

Efficient Data Selection at Scale via Influence Distillation Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.771868Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0463f96f-69bc-4ecb-a1b0-d5d34f434f28 · outbound

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

Efficient Data Selection at Scale via Influence Distillation Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.851073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4790058-ee55-4ed6-955b-52cba7aa5027 · outbound

This paper cites The Llama 3 Herd of Models.

Efficient Data Selection at Scale via Influence Distillation The Llama 3 Herd of Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:18.919852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb35e51a-e430-4238-b334-dcf3b50017d4 · outbound

This paper cites Qwen2.5: A party of foundation models, September 2024.

Efficient Data Selection at Scale via Influence Distillation Qwen2.5: A party of foundation models, September 2024

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:19.036128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation befea17d-e1d9-4c00-a113-d58a9d298519 · outbound

This paper cites Measuring massive multitask language understanding.

Efficient Data Selection at Scale via Influence Distillation Measuring massive multitask language understanding

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:19.100480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fcdb9fb3-9c3f-40f1-b9db-e891da515fbe · outbound

This paper cites Aligning ai with shared human values.

Efficient Data Selection at Scale via Influence Distillation Aligning ai with shared human values

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:24.015581Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bb3c6ee3-5dc6-4280-99c3-324731caf66f · outbound

This paper cites Beyond neural scaling laws: beating power law scaling via data pruning.

Efficient Data Selection at Scale via Influence Distillation Beyond neural scaling laws: beating power law scaling via data pruning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:19.244702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d5a8c5d7-e961-4745-875f-389ced08038f · outbound

This paper cites SemDeDup: Data-efficient learning at web-scale through semantic deduplication.

Efficient Data Selection at Scale via Influence Distillation SemDeDup: Data-efficient learning at web-scale through semantic deduplication

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:19.312719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88d799a2-6e30-40e3-81b2-49fab40ddd1c · outbound

This paper cites Cross-lingual transfer learning with data selection for large-scale spoken language understanding.

Efficient Data Selection at Scale via Influence Distillation Cross-lingual transfer learning with data selection for large-scale spoken language understanding

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.983540Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a41bb63b-5888-4361-84d8-82c8b50b1045 · outbound

This paper cites Smalltolarge (s2l): Scalable data selection for fine-tuning large language models by summarizing training loss trajectories of small models.

Efficient Data Selection at Scale via Influence Distillation Smalltolarge (s2l): Scalable data selection for fine-tuning large language models by summarizing training loss trajectories of small models

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.965627Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation f361fb2b-cf34-40e7-b9cd-9725d3e3ad4a · outbound

This paper cites Language Models are Few-Shot Learners.

Efficient Data Selection at Scale via Influence Distillation Language Models are Few-Shot Learners

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:19.525244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00ac99af-f005-4de7-b4c8-10b652dab6c2 · outbound

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

Efficient Data Selection at Scale via Influence Distillation The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:19.604099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a73e737e-1a7e-436f-821b-970c7579f6ed · outbound

This paper cites Palm: Scaling language modeling with pathways.

Efficient Data Selection at Scale via Influence Distillation Palm: Scaling language modeling with pathways

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:19.673561Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82471f86-8c9e-4aea-8eba-95d0d6fb6a6a · outbound

This paper cites Glam: Efficient scaling of language models with mixture-of-experts.

Efficient Data Selection at Scale via Influence Distillation Glam: Efficient scaling of language models with mixture-of-experts

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.929603Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2bfb858c-ab44-4093-b67f-c1f624d15e86 · outbound

This paper cites Intelligent selection of language model training data.

Efficient Data Selection at Scale via Influence Distillation Intelligent selection of language model training data

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.911761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c452aa61-e1e1-4d88-b0e2-234b48fdb01e · outbound

This paper cites Cynical Selection of Language Model Training Data.

Efficient Data Selection at Scale via Influence Distillation Cynical Selection of Language Model Training Data

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:25:23.141447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5a7ade20-0521-4473-bff6-3c1bb2bab8a8 · outbound

This paper cites Automatic Document Selection for Efficient Encoder Pretraining.

Efficient Data Selection at Scale via Influence Distillation Automatic Document Selection for Efficient Encoder Pretraining

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:20.012070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7690d485-e810-4b73-9afc-bf3a14ecad51 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

Efficient Data Selection at Scale via Influence Distillation Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:20.084156Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9e3bc3b-a137-4acd-8a29-5540a37335c8 · outbound

This paper cites Skill-it! a data-driven skills framework for understanding and training language models.

Efficient Data Selection at Scale via Influence Distillation Skill-it! a data-driven skills framework for understanding and training language models

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.883126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0f8af9a2-3458-4764-aeb1-601c3b23e6f8 · outbound

This paper cites Efficient online data mixing for language model pre-training.

Efficient Data Selection at Scale via Influence Distillation Efficient online data mixing for language model pre-training

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.858137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9d30b2e6-7b81-498c-8c6b-2ded60bc6076 · outbound

This paper cites DavIR: Data Selection via Implicit Reward for Large Language Models.

Efficient Data Selection at Scale via Influence Distillation DavIR: Data Selection via Implicit Reward for Large Language Models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:20.358301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 29860640-ff21-4f63-ab10-007a95bad28e · outbound

This paper cites Dataset cartography: Mapping and diagnosing datasets with training dynamics.

Efficient Data Selection at Scale via Influence Distillation Dataset cartography: Mapping and diagnosing datasets with training dynamics

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.834143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 17ea860b-5e66-4673-a0b5-82171a40dc6a · outbound

This paper cites An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models.

Efficient Data Selection at Scale via Influence Distillation An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:20.521520Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e924ecee-3e7c-4541-92d8-d6c7929fd640 · outbound

This paper cites D4: improving LLM pretraining via document de-duplication and diversification.

Efficient Data Selection at Scale via Influence Distillation D4: improving LLM pretraining via document de-duplication and diversification

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.808786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 474777d3-2037-4e4a-b396-c0df17e86390 · outbound

This paper cites Dsdm: Model-aware dataset selection with datamodels.

Efficient Data Selection at Scale via Influence Distillation Dsdm: Model-aware dataset selection with datamodels

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.788444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d87a0e1b-bd04-4182-a1aa-25df599736f9 · outbound

This paper cites Learning from less data: A unified data subset selection and active learning framework for computer vision.

Efficient Data Selection at Scale via Influence Distillation Learning from less data: A unified data subset selection and active learning framework for computer vision

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.766973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8c036948-b5b7-4b01-80f2-b7226ffdb001 · outbound

This paper cites Retrieve: Coreset selection for efficient and robust semi-supervised learning.

Efficient Data Selection at Scale via Influence Distillation Retrieve: Coreset selection for efficient and robust semi-supervised learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.735817Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5533b5e1-4487-4a27-967c-91930106f009 · outbound

This paper cites Submodularity in data subset selection and active learning.

Efficient Data Selection at Scale via Influence Distillation Submodularity in data subset selection and active learning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.709866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 99c9d33d-1de1-48fa-897f-013f850ee489 · outbound

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

Efficient Data Selection at Scale via Influence Distillation AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:21.398721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4553c525-29a0-4827-8eaf-0364a95e7b86 · outbound

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

Efficient Data Selection at Scale via Influence Distillation Instruction Mining: Instruction Data Selection for Tuning Large Language Models

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:21.464252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9427bd11-8fc2-4a97-a465-12efbb58d1fd · outbound

This paper cites Active Learning for Convolutional Neural Networks: A Core-Set Approach.

Efficient Data Selection at Scale via Influence Distillation Active Learning for Convolutional Neural Networks: A Core-Set Approach

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:21.747454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 065bb8c1-8daf-4f54-84ed-cbfac5366862 · outbound

This paper cites Learning multiple layers of features from tiny images.

Efficient Data Selection at Scale via Influence Distillation Learning multiple layers of features from tiny images

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:21.789613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9df2c883-9405-4900-8f21-f08980d7e081 · outbound

This paper cites A software package for sequential quadratic programming.

Efficient Data Selection at Scale via Influence Distillation A software package for sequential quadratic programming

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.666379Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c5fb7ade-f1d3-47db-8a18-55d965c6d369 · outbound

This paper cites Fundamental algorithms for scientific computing in python and scipy 1.0 contributors.

Efficient Data Selection at Scale via Influence Distillation Fundamental algorithms for scientific computing in python and scipy 1.0 contributors

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.646276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ac74536e-43cd-47ae-a685-e1c856b6fd0b · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Efficient Data Selection at Scale via Influence Distillation Adam: A Method for Stochastic Optimization

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.030590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cb541b8-9d92-4626-a4e5-89ebb8074ab1 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Efficient Data Selection at Scale via Influence Distillation Training Verifiers to Solve Math Word Problems

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.093676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6fe5a871-a5ab-4ff0-94f1-476304d1d5d2 · outbound

This paper cites Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.

Efficient Data Selection at Scale via Influence Distillation Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.179177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 32472503-e5aa-4826-985e-446ce7b0347a · outbound

This paper cites Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki.

Efficient Data Selection at Scale via Influence Distillation Clark, Eunsol Choi, Michael Collins, Dan Garrette, Tom Kwiatkowski, Vitaly Nikolaev, and Jennimaria Palomaki

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.626327Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation afb0ea76-2f23-4533-8c7d-5f4df29d6fcc · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Efficient Data Selection at Scale via Influence Distillation Evaluating Large Language Models Trained on Code

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.234458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a31d4afe-dcec-4ff7-a1db-d94e91c7d41f · outbound

This paper cites SQ u AD : 100,000+ questions for machine comprehension of text.

Efficient Data Selection at Scale via Influence Distillation SQ u AD : 100,000+ questions for machine comprehension of text

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.239197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9245a6b5-e785-4207-b157-b69a084dad85 · outbound

This paper cites Alpacaeval: An automatic evaluator of instruction-following models, 2023 b.

Efficient Data Selection at Scale via Influence Distillation Alpacaeval: An automatic evaluator of instruction-following models, 2023 b

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.245094Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebb0f529-46d0-4e5c-93d0-4a61e2cd81dc · outbound

This paper cites Scaling Laws for Neural Language Models.

Efficient Data Selection at Scale via Influence Distillation Scaling Laws for Neural Language Models

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.249844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02a068f5-cbb0-4130-847b-dd55170a42e4 · outbound

This paper cites Second-Order Forward-Mode Automatic Differentiation for Optimization.

Efficient Data Selection at Scale via Influence Distillation Second-Order Forward-Mode Automatic Differentiation for Optimization

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.255032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6677dad7-ed6b-4286-9978-3af6fbc2b58e · outbound

This paper cites Lora: Low-rank adaptation of large language models.

Efficient Data Selection at Scale via Influence Distillation Lora: Low-rank adaptation of large language models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.260229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8e7dcbd0-9d4b-4b92-a234-6347c225cabd · outbound

This paper cites TRAK: Attributing Model Behavior at Scale.

Efficient Data Selection at Scale via Influence Distillation TRAK: Attributing Model Behavior at Scale

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.265773Z

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Observation 36afd5ad-b3d3-4fa0-8887-ea30f67f55c6 · outbound

This paper cites Sharpness-Aware Minimization for Efficiently Improving Generalization.

Efficient Data Selection at Scale via Influence Distillation Sharpness-Aware Minimization for Efficiently Improving Generalization

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.270445Z

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Observation 6e3305e8-fbf8-45f9-bbb6-941bef4d9fb2 · outbound

This paper cites CrAM: A Compression-Aware Minimizer.

Efficient Data Selection at Scale via Influence Distillation CrAM: A Compression-Aware Minimizer

Reference 58

Resolution: verified exact; local_arxiv, observed 2026-08-07T14:25:22.759076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 47a69f1c-e9f3-4c64-bc1b-069c5604184e · outbound

This paper cites Scaling instruction-finetuned language models.

Efficient Data Selection at Scale via Influence Distillation Scaling instruction-finetuned language models

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.280856Z

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Observation 47599f09-4443-44ff-b2e8-12eb9cd12737 · outbound

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

Efficient Data Selection at Scale via Influence Distillation o pf, Yannic Kilcher, Dimitri Von R \

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.570719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e7186ae3-75ed-441f-8451-c12f5d1b4c9e · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023.

Efficient Data Selection at Scale via Influence Distillation Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.291632Z

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Observation f75019a2-5318-439a-88c0-baa0a93723a8 · outbound

This paper cites Instruction Tuning with GPT-4.

Efficient Data Selection at Scale via Influence Distillation Instruction Tuning with GPT-4

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.297208Z

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Observation c8474305-6044-4d0e-9fb3-7910ac924ebb · outbound

This paper cites Code alpaca: An instruction-following llama model for code generation, 2023.

Efficient Data Selection at Scale via Influence Distillation Code alpaca: An instruction-following llama model for code generation, 2023

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.536533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d7bd0df5-54eb-484d-98e4-91e61d49214c · outbound

This paper cites Lima: Less is more for alignment.

Efficient Data Selection at Scale via Influence Distillation Lima: Less is more for alignment

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.518864Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7068f832-bd6c-4fc5-86ef-328f9326f2f6 · outbound

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

Efficient Data Selection at Scale via Influence Distillation WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.315333Z

Source-reported events for the cited work

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Observation 04a7edd7-6903-46dc-a012-cb0049da96f7 · outbound

This paper cites Openorca: An open dataset of gpt augmented flan reasoning traces, 2023.

Efficient Data Selection at Scale via Influence Distillation Openorca: An open dataset of gpt augmented flan reasoning traces, 2023

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.498394Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 01ff910e-d46c-4c31-9199-9d7d391b3146 · outbound

This paper cites Sciriff: A resource to enhance language model instruction-following over scientific literature.

Efficient Data Selection at Scale via Influence Distillation Sciriff: A resource to enhance language model instruction-following over scientific literature

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.327276Z

Source-reported events for the cited work

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Observation de3062b4-e1da-4ee2-b833-0b457111a35e · outbound

This paper cites PaLM 2 Technical Report.

Efficient Data Selection at Scale via Influence Distillation PaLM 2 Technical Report

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.332639Z

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Observation e984cdef-35ff-4ca2-abb9-a64fe1702d18 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Efficient Data Selection at Scale via Influence Distillation NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 69

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.337440Z

Source-reported events for the cited work

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Observation 261a37da-89c6-4cf4-83e0-86e9bdbd9157 · outbound

This paper cites Large Dual Encoders Are Generalizable Retrievers.

Efficient Data Selection at Scale via Influence Distillation Large Dual Encoders Are Generalizable Retrievers

Reference 70

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.342650Z

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Observation 4d899f91-98c7-411e-a87d-069ad122b8f8 · outbound

This paper cites GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection.

Efficient Data Selection at Scale via Influence Distillation GaLore: Memory-Efficient LLM Training by Gradient Low-Rank Projection

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.348275Z

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Observation f5039b9f-99d5-4e32-955f-13a37e0dc572 · outbound

This paper cites HadaCore: Tensor Core Accelerated Hadamard Transform Kernel.

Efficient Data Selection at Scale via Influence Distillation HadaCore: Tensor Core Accelerated Hadamard Transform Kernel

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-07T14:25:22.354721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 206e9a1f-4905-400d-a309-729e1907d5fb · outbound

This paper cites Fast hadamard transform in cuda, with a pytorch interface, 2023.

Efficient Data Selection at Scale via Influence Distillation Fast hadamard transform in cuda, with a pytorch interface, 2023

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T14:25:23.471206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation ec243924-b070-4a3b-9b1b-9e31b51376e3 · inbound

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning cites this paper.

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning Efficient Data Selection at Scale via Influence Distillation

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-06-30T17:04:56.638213Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.