Paper Citation Record · LEDGER

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation

As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2506.07940.

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

pith.paper-citation-record.v1
2506.07940 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:27:33.444858Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

43 of 43 outbound references displayed

verified exact5
verified fuzzy1
unresolved36
parse uncertain0
malformed identifier0
metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation f7c0ddef-91d7-44ad-a1c4-9105850c1ff3 · outbound

This paper cites Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.241706Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation aba30949-1a8c-4d10-ac1b-6b6c324c9255 · outbound

This paper cites Quantum Deep Equilibrium Models.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Quantum Deep Equilibrium Models

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:27:33.811582Z

Source-reported events for the cited work

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

Observation b469f286-539e-45c6-b2ba-315ca1ed3668 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.252458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68ab4577-327e-4f15-aec3-e9bc48690c78 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Training Verifiers to Solve Math Word Problems

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.257225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 43ea03b0-abc2-480b-b613-515d24c8b0fc · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.135095Z

Source-reported events for the cited work

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

Observation a308c4f6-50bd-4842-abc7-911c5796b828 · outbound

This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.268276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9b550ce3-807b-49a2-8ede-1671c23ca32e · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 7

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.120104Z

Source-reported events for the cited work

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

Observation cc7e3458-4c03-40c2-aabf-a92480c54470 · outbound

This paper cites Incentive Mechanism Design for Distributed Coded Machine Learning.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Incentive Mechanism Design for Distributed Coded Machine Learning

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:27:33.759349Z

Source-reported events for the cited work

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

Observation c69968ae-709d-4fc1-b1bb-2b48ce71faba · outbound

This paper cites Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.284200Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 752e07c9-9939-4af5-aa6c-8992c47ec169 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 10

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.104618Z

Source-reported events for the cited work

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

Observation 14525919-bcee-4589-98e9-c7495d4510bd · outbound

This paper cites Parkes, and Sai Sri- vatsa Ravindranath.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Parkes, and Sai Sri- vatsa Ravindranath

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:27:34.090480Z

Source-reported events for the cited work

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

Observation 23db878d-1bc3-446e-8cf4-21b7029382c9 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 12

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.076128Z

Source-reported events for the cited work

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

Observation 81d0950a-fe4a-4637-ae3d-e16d12640b88 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 13

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.061551Z

Source-reported events for the cited work

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

Observation f631e86c-550a-4a24-bbb3-fce004e8ac51 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.046411Z

Source-reported events for the cited work

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

Observation 06d5e540-5a89-43e1-8f63-a18642f9bb42 · outbound

This paper cites RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation RAGBench: Explainable Benchmark for Retrieval-Augmented Generation Systems

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.317198Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ca5aefe-33ea-4a27-a436-464a0187945d · outbound

This paper cites The Llama 3 Herd of Models.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation The Llama 3 Herd of Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.321917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 954cfa2c-b375-4e9d-849a-36309c1dcd17 · outbound

This paper cites Decentralized & Collaborative AI on Blockchain.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Decentralized & Collaborative AI on Blockchain

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:27:33.671182Z

Source-reported events for the cited work

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

Observation 5053f473-9f9c-4546-a734-6a30de5de17a · outbound

This paper cites RULER: What's the Real Context Size of Your Long-Context Language Models?.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation RULER: What's the Real Context Size of Your Long-Context Language Models?

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.331537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a07f5fb-00e0-448a-be74-46c36a8a6bf1 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.337088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cea45bcc-7c8d-436c-8832-980595382658 · outbound

This paper cites Population Based Training of Neural Networks.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Population Based Training of Neural Networks

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.341938Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eddc39ba-c740-43a3-be6e-65d11cf73c21 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 21

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.021052Z

Source-reported events for the cited work

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

Observation f2b66b73-3a31-410f-b268-0583854aa41a · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 22

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:34.006102Z

Source-reported events for the cited work

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

Observation 856535d5-2f67-4018-9fd8-c8a9bcdf5a0a · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.991581Z

Source-reported events for the cited work

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

Observation eefd4a78-0ee7-4f46-abfd-b80ca8537e72 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.976299Z

Source-reported events for the cited work

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

Observation fa25d457-c231-48be-a2f0-a0dd96e532f7 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 25

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.961108Z

Source-reported events for the cited work

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

Observation b2afeb0b-100a-44dc-b31a-fad2fca14d93 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 26

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.946552Z

Source-reported events for the cited work

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

Observation 412594cc-71a3-4163-9a7f-35de485319d4 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 27

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.932045Z

Source-reported events for the cited work

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

Observation 7ef6bd0a-74da-48aa-bc8f-309fba9029e5 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 28

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.916605Z

Source-reported events for the cited work

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

Observation 48070922-73b2-43ea-a9d6-1e4bd2ba9a64 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.900412Z

Source-reported events for the cited work

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

Observation 9c17ed4d-15d2-4e70-b638-04243c8ebd75 · outbound

This paper cites SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.389965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9b60217-5b4a-4fab-9fbd-16e24606be62 · outbound

This paper cites Direct Preference Optimization: Your Language Model is Secretly a Reward Model.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Direct Preference Optimization: Your Language Model is Secretly a Reward Model

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.394863Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58906c1a-9c26-4438-9f6d-faf69cb449bc · outbound

This paper cites BitTensor: A Peer-to-Peer Intelligence Market.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation BitTensor: A Peer-to-Peer Intelligence Market

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.399769Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 66c9a57d-acb7-4474-94ac-a6bd1a97fed6 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 33

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.885875Z

Source-reported events for the cited work

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

Observation 15395d6b-e85e-49b8-a397-d9b049e1c32d · outbound

This paper cites Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Biscotti: A Ledger for Private and Secure Peer-to-Peer Machine Learning

Reference 34

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:27:33.574459Z

Source-reported events for the cited work

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

Observation 96afcb59-d5ee-49a8-9dfb-0643faa4ac11 · outbound

This paper cites MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation MultiHop-RAG: Benchmarking Retrieval-Augmented Generation for Multi-Hop Queries

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.413760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 05ac7573-f28e-4e6b-8c21-e7aa7b224719 · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.871494Z

Source-reported events for the cited work

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

Observation a13d7962-7568-42d9-830a-958c89b6b4aa · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 37

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.857129Z

Source-reported events for the cited work

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

Observation 4f636279-7580-4e31-8e17-0e6ea5a55a00 · outbound

This paper cites Exploring the Use of Abusive Generative AI Models on Civitai.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Exploring the Use of Abusive Generative AI Models on Civitai

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:27:33.537194Z

Source-reported events for the cited work

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

Observation a4e58cb2-b58a-45ac-8ba6-a832354f0933 · outbound

This paper cites Qwen2 Technical Report.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Qwen2 Technical Report

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.431723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d9beb9d-d86f-4265-902d-382070cf6e09 · outbound

This paper cites When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.435879Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3c718356-4433-426e-bff6-9eb7c5b7d5d8 · outbound

This paper cites Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Improving Massively Multilingual Neural Machine Translation and Zero-Shot Translation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:27:33.440274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7be3345-e4fe-4963-b553-0e633a011a3d · outbound

This paper cites an unresolved cited work.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-07T05:27:33.842384Z

Source-reported events for the cited work

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

Observation a29b1855-c344-4cac-915f-30c1021ca27c · outbound

This paper cites Multi-Objective Population Based Training.

Gradients: When Markets Meet Fine-tuning -- A Distributed Approach to Model Optimisation Multi-Objective Population Based Training

Reference 2023

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T05:27:33.723172Z

Source-reported events for the cited work

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

Pith citing papers

No inbound Pith citation observations are available.