Paper Citation Record · LEDGER

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 42 inbound Pith citation observations for arXiv:2310.05492.

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

pith.paper-citation-record.v1
2310.05492 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 42 of 42 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 42 of 42 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:29:40.539501Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T08:46:48.524247Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8652dab5-320d-45a8-9562-97b36a84be95 · inbound

ORPO: Monolithic Preference Optimization without Reference Model cites this paper.

ORPO: Monolithic Preference Optimization without Reference Model How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:34:04.760451Z

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 5c3f702f-8878-4895-9d94-ee37ac92c679 · inbound

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs cites this paper.

VersaTune: An Efficient Data Composition Framework for Training Multi-Capability LLMs How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-12T18:51:31.715808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85abb0ac-4ad7-407a-9d5c-89b5ef028915 · inbound

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training cites this paper.

LLaMA-MoE v2: Exploring Sparsity of LLaMA from Perspective of Mixture-of-Experts with Post-Training How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-12T14:02:38.858890Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac034c98-970f-4300-a76d-7bf9922331ce · inbound

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models cites this paper.

Surveying the Effects of Quality, Diversity, and Complexity in Synthetic Data From Large Language Models How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-11T22:57:01.613086Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 944a104c-b2d5-4ac8-89b1-b6f180b95b50 · inbound

Evaluating Language Models as Synthetic Data Generators cites this paper.

Evaluating Language Models as Synthetic Data Generators How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-11T22:17:42.604209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e2b9dcb9-7d2e-47b7-aea4-1fbbb6f6809e · inbound

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation cites this paper.

SILMM: Self-Improving Large Multimodal Models for Compositional Text-to-Image Generation How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-11T20:25:14.485181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e774ca97-a0dc-452c-a957-440d798180bc · inbound

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production cites this paper.

DialogAgent: An Auto-engagement Agent for Code Question Answering Data Production How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T18:19:43.649035Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d074ef56-8d6a-46d2-a61c-9890aeb22079 · inbound

CareBot: A Pioneering Full-Process Open-Source Medical Language Model cites this paper.

CareBot: A Pioneering Full-Process Open-Source Medical Language Model How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-11T17:28:07.835278Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f5b15b4-be94-414c-b8bf-4d882e57722d · inbound

InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal Queries cites this paper.

InfoTech Assistant: A Multimodal Conversational Agent for InfoTechnology Web Portal Queries How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-11T10:38:55.266681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7d68cd37-4531-4711-bf9c-a5dd0f9b3b66 · inbound

Parametric Retrieval Augmented Generation cites this paper.

Parametric Retrieval Augmented Generation How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-10T13:55:03.939777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20b13296-0b52-4f3b-b9dd-213f9a0392e9 · inbound

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs cites this paper.

A Dynamic and High-Precision Method for Scenario-Based HRA Synthetic Data Collection in Multi-Agent Collaborative Environments Driven by LLMs How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-10T20:08:09.255325Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e8c9c9a1-1af3-4aec-bfe5-f8f37b16949f · inbound

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons cites this paper.

Training an LLM-as-a-Judge Model: Pipeline, Insights, and Practical Lessons How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-09T10:26:06.852425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b21e0012-0641-440f-8532-01ea455e22b5 · inbound

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model cites this paper.

Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 132

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T08:02:23.444098Z

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 87133e8d-a463-47ee-848e-d4bc48d888a4 · inbound

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System cites this paper.

From Reviews to Dialogues: Active Synthesis for Zero-Shot LLM-based Conversational Recommender System How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T11:29:40.539501Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a82b8e21-60a5-4ff1-880f-1df157a127d0 · inbound

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model cites this paper.

DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language Model How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:47:47.505387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9354517-c7fe-4001-b768-18715b220769 · inbound

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment cites this paper.

IDEAL: Data Equilibrium Adaptation for Multi-Capability Language Model Alignment How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-15T20:32:05.960690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee0659b4-409f-4153-bb66-ae07a3a35faa · inbound

Transforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization cites this paper.

Transforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-15T20:55:34.173279Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3155b6a5-e84c-4b45-8f01-1f64aff0cdf4 · inbound

A Survey of LLM $\times$ DATA cites this paper.

A Survey of LLM $\times$ DATA How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 123

Resolution: unresolved; no resolver link, observed 2026-08-07T14:33:13.022126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 62236847-4015-4dd4-bcd2-c5010dc25482 · inbound

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering cites this paper.

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:37:15.841224Z

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 26d3e4f4-ff8b-4332-83df-e5bffdaa1fc0 · inbound

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering cites this paper.

Beyond Interpretability: When, Why, and How Sparse Autoencoders Enable Label-Free Visual Steering How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:49.116840Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fe375c1-c7b5-484e-a161-31bcf0593054 · inbound

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis cites this paper.

SynthRL: Scaling Visual Reasoning with Verifiable Data Synthesis How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:35:43.435240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cc933ffa-6545-4645-ae21-a3a1bff3e0ed · inbound

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning cites this paper.

Surgery-R1: Advancing Surgical-VQLA with Reasoning Multimodal Large Language Model via Reinforcement Learning How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-06T23:12:12.727040Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b09e2d68-1545-4e28-b366-9000934f1574 · inbound

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding cites this paper.

UrbanLLaVA: A Multi-modal Large Language Model for Urban Intelligence with Spatial Reasoning and Understanding How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T21:52:20.860831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b65bf2a-d1b6-42d3-a027-e421e04ad8f6 · inbound

A Novel Self-Evolution Framework for Large Language Models cites this paper.

A Novel Self-Evolution Framework for Large Language Models How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T15:40:33.211650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a2d3ca-768d-4f57-a969-b2939f99aea6 · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 250

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:07.198161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92418225-6887-47ca-b17b-254772fb5a87 · inbound

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence cites this paper.

A Survey of Self-Evolving Agents: What, When, How, and Where to Evolve on the Path to Artificial Super Intelligence How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 135

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T22:23:15.889287Z

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 4890eba5-3883-4a22-9ed6-28b5bacb4a8c · inbound

Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting cites this paper.

Rewrite-to-Rank: Optimizing Ad Visibility via Retrieval-Aware Text Rewriting How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T20:39:30.734150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 919a0fbc-5be8-4443-9bf6-b3a09694f8c2 · inbound

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models cites this paper.

Data Mixing Optimization for Supervised Fine-Tuning of Large Language Models How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T17:30:47.763317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b733b185-214c-44bc-818b-e692463e14a5 · inbound

SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks cites this paper.

SafeLLM: Unlearning Harmful Outputs from Large Language Models against Jailbreak Attacks How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-05T18:05:31.908933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d1f6ab6-471e-4570-92e2-b9d1286b8dca · inbound

The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang cites this paper.

The Gold Medals in an Empty Room: Diagnosing Metalinguistic Reasoning in LLMs with Camlang How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-05T13:42:11.831627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 074520f4-70f3-45fe-9b00-ac0876361407 · inbound

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models cites this paper.

When Search Goes Wrong: Red-Teaming Web-Augmented Large Language Models How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-18T09:31:11.665009Z

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 6cea7470-e9d7-484a-b8f4-8affa5e61608 · inbound

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation cites this paper.

OPERA: Online Data Pruning for Efficient Retrieval Model Adaptation How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-03T02:34:18.740900Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 221e8487-5d14-4c5e-a37a-3c3b24d4c4ae · inbound

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair cites this paper.

SynthFix: Adaptive Neuro-Symbolic Code Vulnerability Repair How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 83

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T06:41:36.610450Z

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 5872d93f-afc3-4421-8cf0-33a559f0fc59 · inbound

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs cites this paper.

PERSA: Reinforcement Learning for Professor-Style Personalized Feedback with LLMs How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 34

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T15:51:42.679529Z

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 78ccc67a-48e6-4e35-8d02-a5606d69498a · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 239

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:45:59.943636Z

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 e3fda278-fdb2-4e59-b928-17a01b6b7640 · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 224

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:01:00.877774Z

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 1493c519-96aa-45b3-8e58-a64344abda85 · inbound

Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications cites this paper.

Assessment of RAG and Fine-Tuning for Industrial Question-Answering-Applications How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T05:41:23.613990Z

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 bd827019-27f3-4948-af22-a7a36a643801 · inbound

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings cites this paper.

Mix, Don't Tune: Bilingual Pre-Training Outperforms Hyperparameter Search in Data-Constrained Settings How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-14T20:19:27.449276Z

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 b35529f8-9a29-4ec3-9b61-85ada38193f6 · inbound

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives cites this paper.

Vehicle Routing Problem Meets Large Language Models: An Overview and Perspectives How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-07-02T08:46:48.527680Z

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 e3290840-1b77-4b3f-809d-523422178d8f · inbound

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling cites this paper.

SOS-LoRA: Static Orthogonal-Subspace Low-Rank Adaptation with Fixed Multi-Scale Scaling How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 128

Resolution: unresolved; no resolver link, observed 2026-08-02T09:51:03.574664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33529e74-26c6-4c6c-a6e7-1ca3b6d3fb99 · inbound

Probabilistic Concept-Aware Steering for Trustworthy LLM Inference cites this paper.

Probabilistic Concept-Aware Steering for Trustworthy LLM Inference How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-02T13:56:47.677932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 475e09fa-8e71-49f3-842f-6c38be11a240 · inbound

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs cites this paper.

SFT Conflicts, RL Coexists: A Theoretical and Empirical Analysis of Multi-Task Learning for LLMs How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-08T00:51:24.868703Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.