Paper Citation Record · LEDGER

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

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 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 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:13.022126Z

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
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malformed identifier0
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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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+00:00.

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+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.