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Paper Citation Record · LEDGER

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs

As of 7 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2507.21482.

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

pith.paper-citation-record.v1
2507.21482 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T12:47:45.362434Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

42 of 42 outbound references displayed

  • verified exact1
  • verified fuzzy0
  • unresolved41
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b2a1a1d-76d4-478b-957c-f0b28a76b0d1 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:42.797147Z digest=sha256:264901b5cfeb91b57d984225663841a4a5536139e30919d6e30f8b7f3fc07c75

Observation 0941714d-f9d1-4c63-a82a-3a50a3c0f1df · outbound

This paper cites Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Reference 2

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source=arxiv_source observed=2026-08-06T12:47:42.867009Z digest=sha256:e7b9abc26f16fcc598e2780070a7b610d07715115238a0723f957fffcef27070

Observation ae3c261c-8784-4f6e-99ba-7bda28ee84e1 · outbound

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

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs An Experimental Design Framework for Label-Efficient Supervised Finetuning of Large Language Models

Reference 3

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source=arxiv_source observed=2026-08-06T12:47:42.920123Z digest=sha256:e4294e81fec08948ad60a6fe478a2a90aa30e9d790f9eb9b8c8b801cf7e1173f

Observation 28346ea3-1fb3-4d53-9bcb-da400756e2dc · outbound

This paper cites Submodularity In Machine Learning and Artificial Intelligence.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Submodularity In Machine Learning and Artificial Intelligence

Reference 4

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source=arxiv_source observed=2026-08-06T12:47:43.011261Z digest=sha256:7ff427941f6d44b93ed7287f924224e6f3da3b028906c7c5c09bcf902efe0090

Observation 11e70aca-921c-4cd2-a5e6-a2252efd57f9 · outbound

This paper cites Data Diversity Matters for Robust Instruction Tuning.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Data Diversity Matters for Robust Instruction Tuning

Reference 5

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source=arxiv_source observed=2026-08-06T12:47:43.099798Z digest=sha256:50df7d2f11b6106f2edfd87bcebc452959ed22cc74534cc378a64930b788f475

Observation 78f9fddc-fb3a-4d01-9d84-eaf5b6dbb4c1 · outbound

This paper cites SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs SFT or RL? An Early Investigation into Training R1-Like Reasoning Large Vision-Language Models

Reference 6

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source=arxiv_source observed=2026-08-06T12:47:43.134908Z digest=sha256:7015ca7f98541bc3da9952003bab5eaf4578422e925571fb294f752087c890f7

Observation 3e635d56-97e3-42e6-abc7-9c6fdd5e79db · outbound

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

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs AlpaGasus: Training A Better Alpaca with Fewer Data

Reference 7

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source=arxiv_source observed=2026-08-06T12:47:43.183614Z digest=sha256:f2fc4b6a2f04d15ab759c6b3aa9135a4ed5ba67b2e92031225e4dfb0c7e2e0ab

Observation 25261139-53da-4da3-ad3e-c4a15f48d298 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 8

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source=arxiv_source observed=2026-08-06T12:47:43.264059Z digest=sha256:5a2e2e39811ab7313b8acb6f6fcf14efae8140f8ffa37d9654a70e728dde5101

Observation f09bde9f-80bb-42ff-b57a-a3e1065dc170 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:43.319543Z digest=sha256:0d2b0496773aafabcab8ea1de3cddf6e2d2cb2bc8a66969c69bce407cad29305

Observation a95737c2-ff48-4f42-ae82-28597335bc0e · outbound

This paper cites MoDS: Model-oriented Data Selection for Instruction Tuning.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs MoDS: Model-oriented Data Selection for Instruction Tuning

Reference 10

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source=arxiv_source observed=2026-08-06T12:47:43.389554Z digest=sha256:f19f570e4faf2d3f9a47e635e8d9576de6e3f47931ce7349e5b5c454b5ffadec

Observation 3286c5e4-d871-49a2-a27c-220b03eac2bf · outbound

This paper cites Measuring Massive Multitask Language Understanding.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Measuring Massive Multitask Language Understanding

Reference 11

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source=arxiv_source observed=2026-08-06T12:47:43.449347Z digest=sha256:c049b817e52c46be939ccae22a296dcf2a0b98f737893ff118e085e10c822e03

Observation b0c3a23e-8111-4f67-b32c-0d0d3323458d · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs LoRA: Low-Rank Adaptation of Large Language Models

Reference 12

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source=arxiv_source observed=2026-08-06T12:47:43.509926Z digest=sha256:8047ae7017e92a5935c5d3147fbe6a631b9b7aafe10d462365ba35f2b0f6a496

Observation 5b4c75f5-68b9-4e18-9cc6-09033fc2cf0e · outbound

This paper cites Data-Efficient Finetuning Using Cross-Task Nearest Neighbors.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Data-Efficient Finetuning Using Cross-Task Nearest Neighbors

Reference 13

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source=arxiv_source observed=2026-08-06T12:47:43.563797Z digest=sha256:8b09a15c14c6b06412b534accdb64ac5c6a361052d284f87590f7087c94176ce

Observation 3432d42b-454b-4adf-821a-f540b277661f · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 14

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:43.641186Z digest=sha256:63ec5efb80fbbc4eb479ad3437d8c7cf2e0eb0dc56cfd336ea55a901f50849b4

Observation 74f7130e-bac3-4a35-bb01-352ee49485f1 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:43.702379Z digest=sha256:ee934d009f6e2afb0266cb6ddb685efa2eac362faec248b7d197e1755a953985

Observation fe18394b-9268-4818-ab66-ef9fdf02e84d · outbound

This paper cites Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Active Instruction Tuning: Improving Cross-Task Generalization by Training on Prompt Sensitive Tasks

Reference 16

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source=arxiv_source observed=2026-08-06T12:47:43.767768Z digest=sha256:e816972bd534d38fe0bb7b6fca02feeb9407935266cd919791e1f7fa2aa57966

Observation dde39cc2-beaa-4503-bc15-b1bc812a6c2e · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:43.812010Z digest=sha256:e261d864218ba437060529fa0bf7dd6d3eb8c68d336bc2e603d34f636043f7fb

Observation 51a182ee-c167-4452-a97a-0ca4fa5ec4d9 · outbound

This paper cites Hashimoto.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Hashimoto

Reference 18

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source=arxiv_source observed=2026-08-06T12:47:43.864631Z digest=sha256:2909e43968bbd957354b13f2b176115c624f7de97a2085fe87ce71c0ef62c3a1

Observation 52929f99-87c0-4b09-a09f-3cbf48b5b619 · outbound

This paper cites The Flan Collection: Designing Data and Methods for Effective Instruction Tuning.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 19

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source=arxiv_source observed=2026-08-06T12:47:43.919893Z digest=sha256:528a1141f519fd4eb4dd5c3d6397af1664a1f4de6b616414e3e91a64f22365c4

Observation c875356a-639d-4f15-a67a-3c552dd640c3 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 20

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:43.953774Z digest=sha256:4038e343cc05e8106a5c51ccaa61e6f9d07b8ca348fe132bcc3d866046348907

Observation ab86cd08-f74c-4661-b2d7-7e21c501260e · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 21

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source=arxiv_source observed=2026-08-06T12:47:44.040700Z digest=sha256:ca2c7cdc118b74b992f9824c57cb2273efcab756c714133be31f20a19f075627

Observation 94bc2933-ad03-45a2-8b74-d9ce1cddd4e4 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 22

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:44.078622Z digest=sha256:73d3370e7d28b6c66d7197da3c58946ae641f7b18d59ac5d781b6bf9f240c21f

Observation ce417b8c-23ee-4b1f-8f5c-16da0c1d9a54 · outbound

This paper cites Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Improved Algorithm for Deep Active Learning under Imbalance via Optimal Separation

Reference 23

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source=arxiv_source observed=2026-08-06T12:47:44.173569Z digest=sha256:fb395ff0353f391077ea2eb94caab3cb083b2daecd42f48ac00764537766103e

Observation e133c5a4-11c3-4ada-8489-393489e952a5 · outbound

This paper cites Training language models to follow instructions with human feedback.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Training language models to follow instructions with human feedback

Reference 24

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source=arxiv_source observed=2026-08-06T12:47:44.271410Z digest=sha256:616f8581cfe712e7fab27667815361e770224220099a750a88f548ce41cea7eb

Observation dad7c16c-6a39-4ac4-98de-16b4ad4dece7 · outbound

This paper cites Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unleashing the Power of Data Tsunami: A Comprehensive Survey on Data Assessment and Selection for Instruction Tuning of Language Models

Reference 25

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local_arxiv, observed 2026-08-06T12:47:45.791893Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:44.314157Z digest=sha256:a13757f21d32bc9a2a55afde3272ace5009a8d9d4ccfe6483d99eed10f0c31ea

Observation 148b4cdb-4a21-4bd2-98ad-24983ed79999 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 26

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:44.378217Z digest=sha256:2e40f6e2c6ab6549a276c3f73138be618e3aab3eb55c84fbd2cbe5b6b85de596

Observation 9b3e7c13-d878-416f-94a2-d64f40f1d424 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 27

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source=arxiv_source observed=2026-08-06T12:47:44.435370Z digest=sha256:103e313a8e5b65076930728c55759bf6101ef784ad68ba5265cff235e786f641

Observation 34f75120-def0-434a-a097-2eb4d04dbaa2 · outbound

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

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them

Reference 28

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source=arxiv_source observed=2026-08-06T12:47:44.505705Z digest=sha256:3c2ec8c531eb42ca8915b7bf3b41574994dd52b2a5edb903d355e04f9f1d7aad

Observation 0ac1991c-9ae9-486d-bad1-083c0a7e4b7f · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 29

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raw_fallback, observed 2026-08-06T12:47:46.269210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:44.559784Z digest=sha256:48d36c3e7e74e059a3f9786c00d8c180649533a86537beee10cee81d639add59

Observation b4bc5d30-9b11-443e-ab3f-43e8c8154ceb · outbound

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

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 30

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source=arxiv_source observed=2026-08-06T12:47:44.630235Z digest=sha256:9989ae3cf3fe0a7e77a47c1f8e03ca3deeb86b9120c3dfa12b63a8e1e471bbba

Observation 59b259ca-70f9-421e-ad49-60436b481861 · outbound

This paper cites Diversity Measurement and Subset Selection for Instruction Tuning Datasets.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Diversity Measurement and Subset Selection for Instruction Tuning Datasets

Reference 31

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source=arxiv_source observed=2026-08-06T12:47:44.723595Z digest=sha256:f71ce9cd65af3e022a2c2a73a45b57faba1c6efd95e61d94ca63f165b78f5f25

Observation 66c8782a-b368-424d-8138-c3122c9b511d · outbound

This paper cites How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Reference 32

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source=arxiv_source observed=2026-08-06T12:47:44.789856Z digest=sha256:21d65c15f470e296249ceb3a1e8a6ee28c2b974941dd7cbaeb9664b4cc4eae00

Observation 1c878692-dbf2-4c51-81cd-4a1fb86153b9 · outbound

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

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Reference 33

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source=arxiv_source observed=2026-08-06T12:47:44.822605Z digest=sha256:86c166c4f0e3a3baa3f7cf2db209b666543ca972d204ee5f278cce9b58b529f1

Observation a3e73837-19b3-41a9-9a80-66e9871bef75 · outbound

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

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Finetuned Language Models Are Zero-Shot Learners

Reference 34

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source=arxiv_source observed=2026-08-06T12:47:44.889686Z digest=sha256:d4f926ca66f3d58583a1ff37c1d2354d8e46da1e4c845106b3678ceb37a27af1

Observation da6a676c-1184-4484-947d-4c181e37d3d7 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:44.957942Z digest=sha256:da7e0a6df1d21f1af885939e17bfdb392a15a0784972cebc3f91850ba72793ad

Observation ba32fb04-4765-4419-b6c9-a9b52f55f416 · outbound

This paper cites Deep Active Learning in the Open World.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Deep Active Learning in the Open World

Reference 36

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source=arxiv_source observed=2026-08-06T12:47:45.020258Z digest=sha256:e0732d68e9cbc1c87897bc894fad4b797751038c0afea5694a9e0207480c5985

Observation a10a354c-b8fd-4304-a321-6453702480d2 · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 37

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raw_fallback, observed 2026-08-06T12:47:46.228375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:45.080141Z digest=sha256:25fe4f8248542ee0ab33c8bde4024dbf1d8efc3dfffd5eb9ea43c6930fe143b9

Observation 40dc412e-3522-4334-a858-9f18bd9bc086 · outbound

This paper cites LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs LabelBench: A Comprehensive Framework for Benchmarking Adaptive Label-Efficient Learning

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:45.142282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:47:45.142282Z digest=sha256:e39b99e057d39e5a90180039f82166207b359d7d41c76db6944c6e2dd9c02d7b

Observation a9502e75-5976-465e-9614-f63eea5b720e · outbound

This paper cites an unresolved cited work.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-06T12:47:46.203195Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T12:47:45.202485Z digest=sha256:091651ea3f705bb1f3deb5c230ed98133844472eef1fa0f2449a2cadde1831b1

Observation 76385086-f3ca-4677-8e77-289622e31e7f · outbound

This paper cites Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs Bridging the Creativity Understanding Gap: Small-Scale Human Alignment Enables Expert-Level Humor Ranking in LLMs

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:45.238625Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:47:45.238625Z digest=sha256:2c0ca73fbf184fcc5f6cb1ca4f2b54822aecd32169bccdd79774b4c2ea29ce63

Observation bbe76f94-f3b4-4540-8a37-3249c9e526b8 · outbound

This paper cites online" 'onlinestring :=.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs online" 'onlinestring :=

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:45.300103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:47:45.300103Z digest=sha256:42aa30518677eaf3ef8baf14a55bc45ea7a60c974162ecbb42bf10baa33d7e1a

Observation d3ecbf69-a2b8-4936-baab-a310dd366442 · outbound

This paper cites write newline.

Improving Task Diversity in Label Efficient Supervised Finetuning of LLMs write newline

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T12:47:45.362434Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T12:47:45.362434Z digest=sha256:50a4624fe0add0247d3e2a4e3896a99d0b32749839f5910e3e4d553a45489b34

Pith citing papers

No inbound Pith citation observations are available.