Paper Citation Record · LEDGER

Learning Dynamics of LLM Finetuning

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2407.10490.

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

pith.paper-citation-record.v1
2407.10490 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T17:31:59.876018Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T22:06:16.575794Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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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 65f3cb4c-1b59-4f7e-b1bc-d7bbeb5920f2 · inbound

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation cites this paper.

GRAIT: Gradient-Driven Refusal-Aware Instruction Tuning for Effective Hallucination Mitigation Learning Dynamics of LLM Finetuning

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-08T17:31:59.876018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cd2a7a68-530a-49df-9b75-a23b2a061db7 · inbound

Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning cites this paper.

Towards Revealing the Effectiveness of Small-Scale Fine-tuning in R1-style Reinforcement Learning Learning Dynamics of LLM Finetuning

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T14:41:41.745767Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb0aa861-d8ce-4d6a-9d29-a536550589d8 · inbound

On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization cites this paper.

On the Effect of Negative Gradient in Group Relative Deep Reinforcement Optimization Learning Dynamics of LLM Finetuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T14:29:32.572317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1990d6db-a32b-4898-9e51-03d125c24718 · inbound

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections cites this paper.

Implicit Reward as the Bridge: A Unified View of SFT and DPO Connections Learning Dynamics of LLM Finetuning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T00:54:49.770445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf3bf01c-0ebf-45bb-ae2d-bdd292bf06fc · inbound

RL Is Neither a Panacea Nor a Mirage: Understanding Supervised vs. Reinforcement Learning Fine-Tuning for LLMs cites this paper.

RL Is Neither a Panacea Nor a Mirage: Understanding Supervised vs. Reinforcement Learning Fine-Tuning for LLMs Learning Dynamics of LLM Finetuning

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-05T17:21:25.280778Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a6839e6-4658-44d7-a60d-2cff956cb3ee · inbound

Decoupling Task-Solving and Output Formatting in LLM Generation cites this paper.

Decoupling Task-Solving and Output Formatting in LLM Generation Learning Dynamics of LLM Finetuning

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T12:12:57.561553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d78c3bd0-1096-4aa4-a769-25da7a428295 · inbound

What Is Preference Optimization Doing, and Why? cites this paper.

What Is Preference Optimization Doing, and Why? Learning Dynamics of LLM Finetuning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-21T18:40:28.947037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a9d916c5-57f6-4e1b-b752-dce11ca7e33d · inbound

RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce cites this paper.

RAD-DPO: Robust Adaptive Denoising Direct Preference Optimization for Generative Retrieval in E-commerce Learning Dynamics of LLM Finetuning

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-15T19:06:30.680839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2e158d72-527a-4118-b4f8-b930dae0cf75 · inbound

Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation cites this paper.

Scene Generation at Absolute Scale: Utilizing Semantic and Geometric Guidance From Text for Accurate and Interpretable 3D Indoor Scene Generation Learning Dynamics of LLM Finetuning

Reference 18

Resolution: unresolved; no resolver link, observed 2026-07-14T21:37:04.895721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc835128-3a56-42a2-86bb-8a2e16499593 · inbound

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models cites this paper.

SPS: Steering Probability Squeezing for Better Exploration in Reinforcement Learning for Large Language Models Learning Dynamics of LLM Finetuning

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-10T07:01:49.448711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9f7172db-7504-4c33-a776-885f13b0e1b7 · inbound

Gradient-Gated DPO: Stabilizing Preference Optimization in Language Models cites this paper.

Gradient-Gated DPO: Stabilizing Preference Optimization in Language Models Learning Dynamics of LLM Finetuning

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-05-09T06:20:41.735163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 66c2ec75-2ba5-422c-b88f-6e502a0d3042 · inbound

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable cites this paper.

Confidence-Aware Alignment Makes Reasoning LLMs More Reliable Learning Dynamics of LLM Finetuning

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:50:58.188744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 665c7c56-9e73-4710-84ed-43ddd4ecf1cb · inbound

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems cites this paper.

Reinforcement Learning for Scalable and Trustworthy Intelligent Systems Learning Dynamics of LLM Finetuning

Reference 88

Resolution: verified exact; arxiv_id, observed 2026-05-12T07:51:38.989430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c72d8732-7680-4b17-a552-4319e9f2cd63 · inbound

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits cites this paper.

The Cancellation Hypothesis in Critic-Free RL: From Outcome Rewards to Token Credits Learning Dynamics of LLM Finetuning

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-12T08:01:29.036187Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 98f421c5-036b-410b-960f-f19f950996bc · inbound

Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning cites this paper.

Attention-guided Fine-tuning of Multimodal Large Language Models Improves Chain-of-Thought Reasoning Learning Dynamics of LLM Finetuning

Reference 60

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T22:06:16.577368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f47741bd-d9bb-435e-b246-cee0ddd3d33c · inbound

An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon? cites this paper.

An Emergent Mirage: Is Emergent Misalignment and Realignment Indeed a Robust Phenomenon? Learning Dynamics of LLM Finetuning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-07-13T00:42:24.432562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bf00b194-6eb2-423c-b23f-bb76c5b8a4bf · inbound

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion cites this paper.

Supervised Fine-Tuning vs. In-Context Learning: An Equilibrium Analysis of LLM Personalization under Congestion Learning Dynamics of LLM Finetuning

Reference 93

Resolution: unresolved; no resolver link, observed 2026-08-02T02:24:42.877960Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8d174774-00f0-4a18-81b0-4d95a0f5b50f · inbound

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs cites this paper.

Enough is as good as a feast: A Comprehensive Analysis of How Reinforcement Learning Mitigates Task Conflicts in LLMs Learning Dynamics of LLM Finetuning

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-01T06:05:53.145003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.