Paper Citation Record · LEDGER

TopoTuner: Topological Finetuning of Large Language Models

As of 8 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2607.16637.

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

pith.paper-citation-record.v1
2607.16637 v2

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:17:31.428240Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

42 of 42 outbound references displayed

verified exact0
verified fuzzy0
unresolved41
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 414a9412-dd4f-4985-b20f-a0db825caa38 · outbound

This paper cites LLM Post-Training: A Deep Dive into Reasoning Large Language Models.

TopoTuner: Topological Finetuning of Large Language Models LLM Post-Training: A Deep Dive into Reasoning Large Language Models

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:26.917885Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dbaa81f-6a54-40bd-b2f1-3ca341a893fb · outbound

This paper cites Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assessment.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026.

TopoTuner: Topological Finetuning of Large Language Models Parameter-efficient fine-tuning methods for pretrained language models: A critical review and assessment.IEEE Transactions on Pattern Analysis and Machine Intelligence, 2026

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.067129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 52da5ea7-01fb-43d0-a8ba-e8d7f6480805 · outbound

This paper cites A Survey of Large Language Model Agents for Question Answering.

TopoTuner: Topological Finetuning of Large Language Models A Survey of Large Language Model Agents for Question Answering

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.196559Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba4052ce-29f6-4da6-811d-9273a0277e36 · outbound

This paper cites An empirical study of catastrophic forgetting in large language models during continual fine-tuning.IEEE Trans- actions on Audio, Speech and Language Processing, 2025.

TopoTuner: Topological Finetuning of Large Language Models An empirical study of catastrophic forgetting in large language models during continual fine-tuning.IEEE Trans- actions on Audio, Speech and Language Processing, 2025

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.355018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d1319fbd-df17-41e7-80dd-6345c5f3c4ff · outbound

This paper cites Be confident: Uncovering overfitting in mllm multi-task tuning.

TopoTuner: Topological Finetuning of Large Language Models Be confident: Uncovering overfitting in mllm multi-task tuning

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.539002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56848a3c-98c4-4fb0-8b86-3bb3a3bd933c · outbound

This paper cites Targeted vaccine: Safety alignment for large language models against harmful fine-tuning via layer-wise perturbation.IEEE Transactions on Information Forensics and Security, 2025.

TopoTuner: Topological Finetuning of Large Language Models Targeted vaccine: Safety alignment for large language models against harmful fine-tuning via layer-wise perturbation.IEEE Transactions on Information Forensics and Security, 2025

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.646231Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ead385d-56e5-4e10-bc38-dfc27965d945 · outbound

This paper cites Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022.

TopoTuner: Topological Finetuning of Large Language Models Lora: Low-rank adaptation of large language models.Iclr, 1(2):3, 2022

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.780192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f80fc4e-7ca1-4222-961a-15a12c9ceed7 · outbound

This paper cites Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs.

TopoTuner: Topological Finetuning of Large Language Models Beyond Single-Task: Robust Multi-Task Length Generalization for LLMs

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.886133Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 598f2a1c-feef-417e-b1d1-4c9954389aaf · outbound

This paper cites Shuttleworth, Jacob Andreas, Antonio Torralba, and Pratyusha Sharma.

TopoTuner: Topological Finetuning of Large Language Models Shuttleworth, Jacob Andreas, Antonio Torralba, and Pratyusha Sharma

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:27.943379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70c7ebdb-d4f0-4feb-97c7-26fad84311c2 · outbound

This paper cites Topology and data.Bulletin of the American Mathematical Society, 46(2): 255–308, 2009.

TopoTuner: Topological Finetuning of Large Language Models Topology and data.Bulletin of the American Mathematical Society, 46(2): 255–308, 2009

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.036872Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f3338a3f-be0b-4cbd-9ba5-f83520b05d9d · outbound

This paper cites An introduction to topological data analysis: fundamen- tal and practical aspects for data scientists.Frontiers in Artificial Intelligence, 4, 2021.

TopoTuner: Topological Finetuning of Large Language Models An introduction to topological data analysis: fundamen- tal and practical aspects for data scientists.Frontiers in Artificial Intelligence, 4, 2021

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.177649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e813138-a0f7-497b-834a-0384fa9dd004 · outbound

This paper cites Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology.

TopoTuner: Topological Finetuning of Large Language Models Characterizing and Measuring the Similarity of Neural Networks with Persistent Homology

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.244869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 269d0539-9c15-48f7-88ab-7dd6e118a2c6 · outbound

This paper cites Experimental observations of the topology of convolutional neural network activations.

TopoTuner: Topological Finetuning of Large Language Models Experimental observations of the topology of convolutional neural network activations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.301254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb9be35d-02ed-40da-a970-8aaaad139615 · outbound

This paper cites Compressible dynamics in deep over- parameterized low-rank learning & adaptation.

TopoTuner: Topological Finetuning of Large Language Models Compressible dynamics in deep over- parameterized low-rank learning & adaptation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.383274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 636e325e-0768-4320-bd05-fed448e9e3bb · outbound

This paper cites Spurious forgetting in continual learn- ing of language models.

TopoTuner: Topological Finetuning of Large Language Models Spurious forgetting in continual learn- ing of language models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.446459Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bff3bcb0-8a5b-4e33-a2ac-5fe2408b6468 · outbound

This paper cites Dropbp: Accelerating fine-tuning of large language models by drop- ping backward propagation.Advances in Neural Information Processing Systems, 37:20170– 20197, 2024.

TopoTuner: Topological Finetuning of Large Language Models Dropbp: Accelerating fine-tuning of large language models by drop- ping backward propagation.Advances in Neural Information Processing Systems, 37:20170– 20197, 2024

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.482672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b779d454-9e1d-4f5a-8657-4bd2173d6287 · outbound

This paper cites A survey of topological machine learning methods.Frontiers in Artificial Intelligence, 4:52, 2021.

TopoTuner: Topological Finetuning of Large Language Models A survey of topological machine learning methods.Frontiers in Artificial Intelligence, 4:52, 2021

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.552153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3108b2e-efd2-42fd-9a3a-5aff88e48713 · outbound

This paper cites A theoretical framework for llm fine-tuning using early stopping for non-random initialization.arXiv preprint arXiv:2602.13942, 2026.

TopoTuner: Topological Finetuning of Large Language Models A theoretical framework for llm fine-tuning using early stopping for non-random initialization.arXiv preprint arXiv:2602.13942, 2026

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.663375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d1a217a-e842-431e-8a9b-9cbdd612176c · outbound

This paper cites an unresolved cited work.

TopoTuner: Topological Finetuning of Large Language Models Unresolved cited work

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.795510Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb2f7dc3-c08b-4c29-a24f-37bdbf0aae4b · outbound

This paper cites The gudhi library: Simplicial complexes and persistent homology.

TopoTuner: Topological Finetuning of Large Language Models The gudhi library: Simplicial complexes and persistent homology

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:28.891983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6cc0e7e7-7050-401c-bcfd-623674bbc0a3 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

TopoTuner: Topological Finetuning of Large Language Models Training Verifiers to Solve Math Word Problems

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.008259Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26a40228-cec3-407d-bb53-ac82f8270c29 · outbound

This paper cites Measuring massive multitask language understanding.Proceedings of the International Conference on Learning Representations (ICLR), 2021.

TopoTuner: Topological Finetuning of Large Language Models Measuring massive multitask language understanding.Proceedings of the International Conference on Learning Representations (ICLR), 2021

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.118537Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1966f0af-b46e-4757-ad04-5ba04ca6552f · outbound

This paper cites Aligning ai with shared human values.Proceedings of the International Conference on Learning Representations (ICLR), 2021.

TopoTuner: Topological Finetuning of Large Language Models Aligning ai with shared human values.Proceedings of the International Conference on Learning Representations (ICLR), 2021

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.220842Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6146e73b-5fb9-4623-a18e-c1ddbdb7136c · outbound

This paper cites Maas, Raymond E.

TopoTuner: Topological Finetuning of Large Language Models Maas, Raymond E

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.336073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 200e1aff-858c-44fb-bb16-551d450b7abc · outbound

This paper cites Manning, Andrew Ng, and Christopher Potts.

TopoTuner: Topological Finetuning of Large Language Models Manning, Andrew Ng, and Christopher Potts

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.490933Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 967bd308-551e-41ed-940f-232afb7def60 · outbound

This paper cites Cohen, Ruslan Salakhut- dinov, and Christopher D.

TopoTuner: Topological Finetuning of Large Language Models Cohen, Ruslan Salakhut- dinov, and Christopher D

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.604977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d75573a1-395a-46bb-a1bf-6dfba1f135f4 · outbound

This paper cites SQuAD: 100,000+ ques- tions for machine comprehension of text.

TopoTuner: Topological Finetuning of Large Language Models SQuAD: 100,000+ ques- tions for machine comprehension of text

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.767066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85dfe9ca-0689-48ac-80ac-fa25f777e2dd · outbound

This paper cites Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization.

TopoTuner: Topological Finetuning of Large Language Models Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:29.889194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation be8857dc-49e2-4f50-9527-64f48a550ba2 · outbound

This paper cites Liu, and Christopher D.

TopoTuner: Topological Finetuning of Large Language Models Liu, and Christopher D

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.053719Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 89e747a4-9c3f-407e-b8e2-2340684dcb6e · outbound

This paper cites Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023.

TopoTuner: Topological Finetuning of Large Language Models Free dolly: Introducing the world’s first truly open instruction-tuned llm, 2023

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.195757Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c8c150b6-dd08-4a83-813e-c138a3558d4e · outbound

This paper cites Hashimoto.

TopoTuner: Topological Finetuning of Large Language Models Hashimoto

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.333788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12912316-f8d5-40f0-a36d-25169ecdb7a3 · outbound

This paper cites an unresolved cited work.

TopoTuner: Topological Finetuning of Large Language Models Unresolved cited work

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.438306Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d0b4f23-049b-49e0-8e42-e30321f1c956 · outbound

This paper cites Program Synthesis with Large Language Models.

TopoTuner: Topological Finetuning of Large Language Models Program Synthesis with Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.500546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff86371e-7dcc-4d39-a87b-a4ac6c875928 · outbound

This paper cites The Llama 3 Herd of Models.

TopoTuner: Topological Finetuning of Large Language Models The Llama 3 Herd of Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.662957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97461599-a724-4c4d-8a42-c5583457157a · outbound

This paper cites Mistral 7B.

TopoTuner: Topological Finetuning of Large Language Models Mistral 7B

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.738850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff46c1e2-30da-499b-92d4-a0420e130a1e · outbound

This paper cites Qwen3 Technical Report.

TopoTuner: Topological Finetuning of Large Language Models Qwen3 Technical Report

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.847003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e7410693-7ed4-49b9-b31c-439f2673e919 · outbound

This paper cites Spectrum: Targeted training on signal to noise ratio.https://github.com/ QuixiAI/spectrum, 2024.

TopoTuner: Topological Finetuning of Large Language Models Spectrum: Targeted training on signal to noise ratio.https://github.com/ QuixiAI/spectrum, 2024

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:30.951458Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4bede25b-2bc3-4453-97e8-071f2809001c · outbound

This paper cites Springer, 2016.

TopoTuner: Topological Finetuning of Large Language Models Springer, 2016

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:31.021741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5944be30-6310-4319-847a-ec15ad16b81c · outbound

This paper cites Intrinsic dimensionality explains the effectiveness of language model fine-tuning.

TopoTuner: Topological Finetuning of Large Language Models Intrinsic dimensionality explains the effectiveness of language model fine-tuning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:31.126112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b29996f-d397-43df-b1c5-2a69a4c9fe3f · outbound

This paper cites Bitfit: Simple parameter-efficient fine- tuning for transformer-based masked language-models.

TopoTuner: Topological Finetuning of Large Language Models Bitfit: Simple parameter-efficient fine- tuning for transformer-based masked language-models

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:31.241411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d72117ba-5aaa-4328-b5e1-802edf2ab9db · outbound

This paper cites Editing models with task arithmetic.

TopoTuner: Topological Finetuning of Large Language Models Editing models with task arithmetic

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T04:17:31.317708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2b96fd09-0d52-49eb-bbb4-411079568e85 · outbound

This paper cites Model soups: averaging weights of multiple fine-tuned models improves accuracy without in- creasing inference time.

TopoTuner: Topological Finetuning of Large Language Models Model soups: averaging weights of multiple fine-tuned models improves accuracy without in- creasing inference time

Reference 42

Resolution: malformed identifier; no resolver link, observed 2026-08-04T04:17:31.428240Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.