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Paper Citation Record · LEDGER

Topological Signatures of Context-Level Reliability in TabPFN

As of 9 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2607.17962.

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

pith.paper-citation-record.v1
2607.17962 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T16:37:00.971635Z

measured 39 of 39 standing notices

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

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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Outbound references

Observation 3801f054-1848-4ae1-b533-1520deedf043 · outbound

This paper cites Tabnet: Attentive interpretable tabular learning.

Topological Signatures of Context-Level Reliability in TabPFN Tabnet: Attentive interpretable tabular learning

Reference 1

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Observation 0a5e5e15-047e-4d0f-9e8f-45e90bc91b64 · outbound

This paper cites Orion-msp: Multi-scale sparse attention for tabular in-context learning.arXiv preprint arXiv:2511.02818, 2025.

Topological Signatures of Context-Level Reliability in TabPFN Orion-msp: Multi-scale sparse attention for tabular in-context learning.arXiv preprint arXiv:2511.02818, 2025

Reference 2

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source=pdf_text observed=2026-08-01T16:36:59.076235Z digest=sha256:b8b556693bbff5b62f125e1f66a9a5d1ee5fac3f8548995b8fbc9d3f669c5137

Observation 939320d1-89b4-4e37-82c8-af6a61c6a9a5 · outbound

This paper cites Random forests.Machine learning, 45(1):5–32, 2001.

Topological Signatures of Context-Level Reliability in TabPFN Random forests.Machine learning, 45(1):5–32, 2001

Reference 3

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source=pdf_text observed=2026-08-01T16:36:59.106421Z digest=sha256:16fe207038417c77761c15705c0f3628c73aaf21eec24fedeb7012db48141e58

Observation d31716cf-da40-4580-a326-58b4f4ba26d7 · outbound

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

Topological Signatures of Context-Level Reliability in TabPFN Topology and data.Bulletin of the American Mathematical Society, 46(2):255–308, 2009

Reference 4

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source=pdf_text observed=2026-08-01T16:36:59.183886Z digest=sha256:beda035ca2a5287f5d10ee09da8868ce5c568e03e714656e8d59dba1c93dfcac

Observation b559143b-ccc0-45fb-acfa-bde6cdd46ae0 · outbound

This paper cites Zigzag persistence.Foundations of Computational Math- ematics, 10(4):367–405, 2010.

Topological Signatures of Context-Level Reliability in TabPFN Zigzag persistence.Foundations of Computational Math- ematics, 10(4):367–405, 2010

Reference 5

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Observation 663736e8-e142-477d-8ac6-ac230436c1ac · outbound

This paper cites Xgboost: A scalable tree boosting system.

Topological Signatures of Context-Level Reliability in TabPFN Xgboost: A scalable tree boosting system

Reference 6

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Observation 4f25d32d-3996-4a01-9979-62bf879fe8f8 · outbound

This paper cites Stability of persistence diagrams.

Topological Signatures of Context-Level Reliability in TabPFN Stability of persistence diagrams

Reference 7

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Observation 37ee941c-20fe-410b-9793-54d079929e95 · outbound

This paper cites A survey on in-context learning.

Topological Signatures of Context-Level Reliability in TabPFN A survey on in-context learning

Reference 8

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source=pdf_text observed=2026-08-01T16:36:59.438655Z digest=sha256:f6401a2e1d77c696657ad615e6f0fdbdac49f6a7744782da46e15d5a42a3f1c9

Observation 33035636-6c17-4e92-973c-888fd933fc82 · outbound

This paper cites American Mathematical Society, 2010.

Topological Signatures of Context-Level Reliability in TabPFN American Mathematical Society, 2010

Reference 9

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source=pdf_text observed=2026-08-01T16:36:59.554943Z digest=sha256:4ead0b94df2806892802db1a15a5c42c095b8d006bf8bf97cc0c244bc62949f8

Observation 676c8e1e-a38e-4a8d-8c1a-c2fc50d60d4d · outbound

This paper cites Topological persistence and simplification.Discrete & Computational Geometry, 28(4):511–533, 2002.

Topological Signatures of Context-Level Reliability in TabPFN Topological persistence and simplification.Discrete & Computational Geometry, 28(4):511–533, 2002

Reference 10

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Observation 8e527e50-dbb7-4773-86fb-7cccf7cd81c2 · outbound

This paper cites TabArena: A Living Benchmark for Machine Learning on Tabular Data.

Topological Signatures of Context-Level Reliability in TabPFN TabArena: A Living Benchmark for Machine Learning on Tabular Data

Reference 11

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Observation 07bac819-23fc-4f9d-9128-e8f44ee80011 · outbound

This paper cites Persistent topological features in large language models.

Topological Signatures of Context-Level Reliability in TabPFN Persistent topological features in large language models

Reference 12

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Observation 700fbe98-da41-4017-90ac-edde7347cc13 · outbound

This paper cites Revisiting deep learning models for tabular data.Advances in neural information processing systems, 34:18932– 18943, 2021.

Topological Signatures of Context-Level Reliability in TabPFN Revisiting deep learning models for tabular data.Advances in neural information processing systems, 34:18932– 18943, 2021

Reference 13

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Observation 36fb5355-4ee5-4d72-9498-0c0bba72116f · outbound

This paper cites TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models.

Topological Signatures of Context-Level Reliability in TabPFN TabPFN-2.5: Advancing the State of the Art in Tabular Foundation Models

Reference 14

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Observation beeac314-7a62-4ec9-8100-35c8f8b22006 · outbound

This paper cites TabPFN-3: Technical Report.

Topological Signatures of Context-Level Reliability in TabPFN TabPFN-3: Technical Report

Reference 15

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Observation 6ab1cddb-1c42-4c89-9ccf-d29696747c90 · outbound

This paper cites Why do tree-based models still out- perform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520, 2022.

Topological Signatures of Context-Level Reliability in TabPFN Why do tree-based models still out- perform deep learning on typical tabular data?Advances in neural information processing systems, 35:507–520, 2022

Reference 16

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Observation 313bac7d-5fb1-4caf-9555-644753f15c6b · outbound

This paper cites Generative AI Enhanced Financial Risk Management Information Retrieval.

Topological Signatures of Context-Level Reliability in TabPFN Generative AI Enhanced Financial Risk Management Information Retrieval

Reference 17

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Observation acdd822f-4ba4-4705-8507-3cb0cb201e29 · outbound

This paper cites Topological feature-driven tabpfn model for prediction of enlarged hemorrhage and edema after tumor resection in meningiomas.Frontiers in Medicine, 13:1808831, 2026.

Topological Signatures of Context-Level Reliability in TabPFN Topological feature-driven tabpfn model for prediction of enlarged hemorrhage and edema after tumor resection in meningiomas.Frontiers in Medicine, 13:1808831, 2026

Reference 18

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Observation 64d1b60f-7f9f-485e-8a9f-b013aeb816ac · outbound

This paper cites TabPFN: A transformer that solves small tabular classification problems in a second.

Topological Signatures of Context-Level Reliability in TabPFN TabPFN: A transformer that solves small tabular classification problems in a second

Reference 19

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Observation f7fc3fb7-dc13-4194-a854-1198833d8ba9 · outbound

This paper cites Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025.

Topological Signatures of Context-Level Reliability in TabPFN Accurate predictions on small data with a tabular foundation model.Nature, 637(8045):319–326, 2025

Reference 20

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Observation 15085fae-c4b2-4da0-9f61-3e8becf40424 · outbound

This paper cites Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms.

Topological Signatures of Context-Level Reliability in TabPFN Noise Immunity in In-Context Tabular Learning: An Empirical Robustness Analysis of TabPFN's Attention Mechanisms

Reference 21

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Observation baf0c152-e9aa-4251-92bf-baee33cf450e · outbound

This paper cites Robustness of random forest-based gene selection methods.BMC bioinformatics, 15(1):8, 2014.

Topological Signatures of Context-Level Reliability in TabPFN Robustness of random forest-based gene selection methods.BMC bioinformatics, 15(1):8, 2014

Reference 22

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Observation b3e6e4a4-4b5b-4ce9-aa4e-f383ac04251b · outbound

This paper cites Persistent Homology with k-nearest-neighbor Filtrations reveals Topological Convergence of PageRank.

Topological Signatures of Context-Level Reliability in TabPFN Persistent Homology with k-nearest-neighbor Filtrations reveals Topological Convergence of PageRank

Reference 23

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Observation b3f7586b-5a36-4ce3-aa66-b0ebfbfe2ad4 · outbound

This paper cites Generalization can emerge in tabular foundation models from a single table.arXiv preprint arXiv:2511.09665, 2025.

Topological Signatures of Context-Level Reliability in TabPFN Generalization can emerge in tabular foundation models from a single table.arXiv preprint arXiv:2511.09665, 2025

Reference 24

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Observation 980fabcb-81a6-4b8d-99ee-b52d98518ff8 · outbound

This paper cites Tab- dpt: Scaling tabular foundation models on real data.arXiv preprint arXiv:2410.18164, 2024.

Topological Signatures of Context-Level Reliability in TabPFN Tab- dpt: Scaling tabular foundation models on real data.arXiv preprint arXiv:2410.18164, 2024

Reference 25

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Observation e017979e-26af-4165-94ab-3545a439444d · outbound

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

Topological Signatures of Context-Level Reliability in TabPFN The GUDHI library: Simplicial complexes and persistent homology

Reference 26

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Observation a7a767f2-08ef-45cf-abcf-dee0cdd92122 · outbound

This paper cites Topology of deep neural networks.

Topological Signatures of Context-Level Reliability in TabPFN Topology of deep neural networks

Reference 27

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Observation e8fc2d69-20cc-458f-9c3f-9b20f0cfbf12 · outbound

This paper cites Assessing the robustness of tabular prior-data fitted network classifier.

Topological Signatures of Context-Level Reliability in TabPFN Assessing the robustness of tabular prior-data fitted network classifier

Reference 28

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Observation 54fe6968-6546-481e-bd21-20053ed0e381 · outbound

This paper cites Finding the homology of submanifolds with high confidence from random samples.Discrete & Computational Geometry, 39(1–3):419– 441, 2008.

Topological Signatures of Context-Level Reliability in TabPFN Finding the homology of submanifolds with high confidence from random samples.Discrete & Computational Geometry, 39(1–3):419– 441, 2008

Reference 29

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Observation dd4511bd-d6e9-4488-85f8-fabe6ac5c74d · outbound

This paper cites Catboost: unbiased boosting with categorical features.Advances in neural information processing systems, 31, 2018.

Topological Signatures of Context-Level Reliability in TabPFN Catboost: unbiased boosting with categorical features.Advances in neural information processing systems, 31, 2018

Reference 30

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Observation 49fe7e1e-bf66-4dc4-a286-e700cb48b130 · outbound

This paper cites Neural persistence: A complexity measure for deep neural net- works using algebraic topology.

Topological Signatures of Context-Level Reliability in TabPFN Neural persistence: A complexity measure for deep neural net- works using algebraic topology

Reference 31

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Observation 15424115-4189-4fc3-bbee-4f5c80021cd8 · outbound

This paper cites Samaga, Gilberto Gonzalez Arroyo, and Tamal K.

Topological Signatures of Context-Level Reliability in TabPFN Samaga, Gilberto Gonzalez Arroyo, and Tamal K

Reference 32

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Observation 0d48d878-c284-47e1-9e48-cbc9b4aae74c · outbound

This paper cites Does tabpfn understand causal structures?arXiv preprint arXiv:2511.07236, 2025.

Topological Signatures of Context-Level Reliability in TabPFN Does tabpfn understand causal structures?arXiv preprint arXiv:2511.07236, 2025

Reference 33

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Observation d4937976-4d93-4c65-b757-848821ac3966 · outbound

This paper cites Exploring fine-tuning for tabular foundation models.arXiv preprint arXiv:2601.09654, 2026.

Topological Signatures of Context-Level Reliability in TabPFN Exploring fine-tuning for tabular foundation models.arXiv preprint arXiv:2601.09654, 2026

Reference 34

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Observation c4a64bc3-1fb5-4c30-9aae-0e08c4553388 · outbound

This paper cites Why Tabular Foundation Models Should Be a Research Priority.

Topological Signatures of Context-Level Reliability in TabPFN Why Tabular Foundation Models Should Be a Research Priority

Reference 35

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Observation 0f93db10-c03a-41b6-8630-851d7ab12c26 · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Topological Signatures of Context-Level Reliability in TabPFN Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 36

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Observation 9e99077a-c6fc-47f1-bab9-948ac382e0f7 · outbound

This paper cites Transformers learn in-context by gra- dient descent.

Topological Signatures of Context-Level Reliability in TabPFN Transformers learn in-context by gra- dient descent

Reference 37

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Observation 452cee42-fd4a-48ba-be53-93ab6028cbff · outbound

This paper cites A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities.

Topological Signatures of Context-Level Reliability in TabPFN A Closer Look at TabPFN v2: Understanding Its Strengths and Extending Its Capabilities

Reference 38

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source=pdf_text observed=2026-08-01T16:37:00.968654Z digest=sha256:88b16389bd415b2b1df7310096abae761bec2e5a68511ec97f2f42c1b25fd261

Observation 2991c0f3-7182-4f51-b9f0-8605e6de7f73 · outbound

This paper cites Computing persistent homology.Discrete & Compu- tational Geometry, 33(2):249–274, 2005.

Topological Signatures of Context-Level Reliability in TabPFN Computing persistent homology.Discrete & Compu- tational Geometry, 33(2):249–274, 2005

Reference 39

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Pith citing papers

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