Paper Citation Record · LEDGER

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning

As of 16 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 1 inbound Pith citation observation for arXiv:2502.01703.

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

pith.paper-citation-record.v1
2502.01703 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T15:59:08.809766Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-27T14:12:14.785572Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:07:36.828200Z

Reference resolution

42 of 42 outbound references displayed

verified exact5
verified fuzzy17
unresolved20
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2fee5f27-ddf2-44c7-9b51-85903a1cc1bb · outbound

This paper cites Database-friendly random projections: Johnson-lindenstrauss with binary coins.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Database-friendly random projections: Johnson-lindenstrauss with binary coins

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.656776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db884736-caf8-4b38-9f23-0de6c9bc1bda · outbound

This paper cites an unresolved cited work.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Unresolved cited work

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.660430Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de8800c5-ef0c-4737-9c97-c1e784032eeb · outbound

This paper cites Z., Tomioka, R., and Vojnovic, M.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Z., Tomioka, R., and Vojnovic, M

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.911860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 94b1f5c4-e6e4-4094-a43c-f479fdb417c6 · outbound

This paper cites signsgd: Compressed optimisation for non-convex problems.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning signsgd: Compressed optimisation for non-convex problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.667526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04969f34-8fac-402c-844d-d67a241da2f9 · outbound

This paper cites an unresolved cited work.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Unresolved cited work

Reference 5

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T15:59:09.702191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3dfb820e-54a1-4abd-b44d-8f248c541e4b · outbound

This paper cites What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning What is Your Data Worth to GPT? LLM-Scale Data Valuation with Influence Functions

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.674665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9caff52a-a9a2-45e2-98fc-b7f459433c11 · outbound

This paper cites H., Choi, E., Collins, M., Garrette, D., Kwiatkowski, T., Nikolaev, V., and Palomaki, J.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning H., Choi, E., Collins, M., Garrette, D., Kwiatkowski, T., Nikolaev, V., and Palomaki, J

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.898657Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 165f4ff2-5ce1-4554-9a20-24afc7aa3db7 · outbound

This paper cites Free Dolly : Introducing the world's first truly open instruction-tuned LLM , 2023.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Free Dolly : Introducing the world's first truly open instruction-tuned LLM , 2023

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.889973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 56e4aeef-8679-403e-a244-2ecefe0d9a41 · outbound

This paper cites 8-Bit Approximations for Parallelism in Deep Learning.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning 8-Bit Approximations for Parallelism in Deep Learning

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.686348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91fe14f1-557e-4eb9-93e4-cbe3e0e97919 · outbound

This paper cites LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.689947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4c08321-6992-43b1-9434-9b76823fe9ea · outbound

This paper cites Qlora: efficient finetuning of quantized llms.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Qlora: efficient finetuning of quantized llms

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.880556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c495dde3-a093-4d57-8f4e-fc40a3e3d777 · outbound

This paper cites The Llama 3 Herd of Models.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning The Llama 3 Herd of Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.697718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44bb4366-44ca-4d34-9a75-b7729468c520 · outbound

This paper cites Estimating training data influence by tracing gradient descent.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Estimating training data influence by tracing gradient descent

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.870971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c068ed4f-9dbe-4429-85a1-20d6dd85899b · outbound

This paper cites Measuring massive multitask language understanding.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Measuring massive multitask language understanding

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.704830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation abcf7daa-f12c-49a8-bf95-9736d6bcbed1 · outbound

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

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning LoRA: Low-Rank Adaptation of Large Language Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.708479Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 326b351b-cd9f-4c22-83e2-a8b21a41f0a2 · outbound

This paper cites Fedpara: Low-rank hadamard product for communication-efficient federated learning.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Fedpara: Low-rank hadamard product for communication-efficient federated learning

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.857743Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation afd9a375-b00b-4e78-9aee-6d4363b39abe · outbound

This paper cites A quantized johnson–lindenstrauss lemma: The finding of buffon’s needle.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning A quantized johnson–lindenstrauss lemma: The finding of buffon’s needle

Reference 17

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T15:59:09.496755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 3f7df27d-e1c5-4b0e-b0a8-0bf744aa8799 · outbound

This paper cites and Cambareri, V.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning and Cambareri, V

Reference 18

Resolution: verified exact; doi, observed 2026-08-09T15:59:08.840567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation c5470abc-1c66-4cee-bcef-cc4a56be4bff · outbound

This paper cites Mistral 7B.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Mistral 7B

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.721176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 59f4bc53-e2fe-4c5b-923f-476e79eebbb4 · outbound

This paper cites an unresolved cited work.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:59:09.848764Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 6ac858d9-1c7d-4768-9aec-d2af2afca849 · outbound

This paper cites an unresolved cited work.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.727780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0cae7992-ea25-4c42-9ae9-5b0f97e8307c · outbound

This paper cites o pf, A., Kilcher, Y., von R \.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning o pf, A., Kilcher, Y., von R \

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.835280Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 95f908a8-8b86-4b98-943a-1f65680325af · outbound

This paper cites Datainf: Efficiently estimating data influence in lo RA -tuned LLM s and diffusion models.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Datainf: Efficiently estimating data influence in lo RA -tuned LLM s and diffusion models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.826793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation ae2c8602-161a-472a-97b5-fbefeb2a07d8 · outbound

This paper cites Quantized embeddings of scale-invariant image features for mobile augmented reality.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Quantized embeddings of scale-invariant image features for mobile augmented reality

Reference 24

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T15:59:09.304075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 883eeaad-4b57-4b8e-8ea1-1a1232b20d0b · outbound

This paper cites J., and Church, K.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning J., and Church, K

Reference 25

Resolution: verified exact; arxiv_id_nonexistent, observed 2026-08-09T15:59:09.088778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 480d125e-b6c3-4529-ab94-bca763c2e1e9 · outbound

This paper cites Coding for random projections.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Coding for random projections

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.817380Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 1d7871ef-98f6-4f81-be30-90075ec1cc60 · outbound

This paper cites Quantized random projections and non-linear estimation of cosine similarity.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Quantized random projections and non-linear estimation of cosine similarity

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.807531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 33d55277-fefa-4711-9e22-57413f6429f8 · outbound

This paper cites J., Weller, A., and Sch \"o lkopf, B.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning J., Weller, A., and Sch \"o lkopf, B

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.751506Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8557850e-c10e-4548-ad9c-b73db24a4ab3 · outbound

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

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning The Flan Collection: Designing Data and Methods for Effective Instruction Tuning

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.754510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e4d41947-6de5-42cf-adbf-94402ee259cc · outbound

This paper cites M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning M., Georgiev, K., Ilyas, A., Leclerc, G., and Madry, A

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.792954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 5ebb570c-bdb0-46b4-87c6-3b7fde60d6f9 · outbound

This paper cites Controlling text-to-image diffusion by orthogonal finetuning.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Controlling text-to-image diffusion by orthogonal finetuning

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.783323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation d37df566-1f4a-4feb-a835-4999f8f989ea · outbound

This paper cites Qwen2.5 Technical Report.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Qwen2.5 Technical Report

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.767118Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 98e060d9-1621-4119-bd0e-2dd398ed6d59 · outbound

This paper cites U., Cordonnier, J.-B., and Jaggi, M.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning U., Cordonnier, J.-B., and Jaggi, M

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.774025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 8c59ece9-27e8-4310-bfa2-bea81bd8e3ab · outbound

This paper cites W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning W., Chowdhery, A., Le, Q., Chi, E., Zhou, D., et al

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.775688Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5561558-fb7c-40d2-9729-e622fc929394 · outbound

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

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.779714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d50330fc-f470-4424-9308-e26892a42fff · outbound

This paper cites Gradient sparsification for communication-efficient distributed optimization.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Gradient sparsification for communication-efficient distributed optimization

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.760218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 7843c4d5-f7e1-4160-ab3a-de88befcb604 · outbound

This paper cites V., Zhou, D., et al.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning V., Zhou, D., et al

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.787995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 604dbb47-5826-4b1b-9038-5cd4ff5eafc4 · outbound

This paper cites Terngrad: ternary gradients to reduce communication in distributed deep learning.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Terngrad: ternary gradients to reduce communication in distributed deep learning

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.746497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 630f2686-6d64-4cb0-997f-f9e8293beb45 · outbound

This paper cites Less: selecting influential data for targeted instruction tuning.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Less: selecting influential data for targeted instruction tuning

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.737273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 39c78fe0-a4e0-4a6d-ab9a-8e7b5f83b0cd · outbound

This paper cites an unresolved cited work.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-09T15:59:09.728238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 618e4ab1-3d28-4eb3-88c2-de2925584dc6 · outbound

This paper cites Adaptive budget allocation for parameter-efficient fine-tuning.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning Adaptive budget allocation for parameter-efficient fine-tuning

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T15:59:09.717919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 49c26e2a-e907-4cc9-9496-b1b5c3dc172e · outbound

This paper cites write newline.

QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning write newline

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T15:59:08.809766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 598104e4-70e3-42be-aa48-9261d3d867b8 · inbound

Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey cites this paper.

Unifying Data, Memory, and Compute Efficiency in LLM training: A Survey QLESS: A Quantized Approach for Data Valuation and Selection in Large Language Model Fine-Tuning

Reference 91

Resolution: verified exact; arxiv_id, observed 2026-07-03T04:07:36.829611Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.