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Paper Citation Record · LEDGER

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem

As of 16 August 2026, this Paper Citation Record lists 9 of 9 outbound references and 1 inbound Pith citation observation for arXiv:2511.05872.

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

pith.paper-citation-record.v1
2511.05872 v1

Coverage vector

measured 9 of 9 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T06:54:15.862750Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-30T06:59:14.626274Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T07:04:21.418057Z

Reference resolution

9 of 9 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved9
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 051419a2-3037-4c79-9d02-4161d9056be7 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem On the Opportunities and Risks of Foundation Models

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.824864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.824864Z digest=sha256:4e8a47ada9c9c1a48295f933f76fbe5f20fb8407682be431157377723c1c7844

Observation b5d4886a-2631-48f9-a4a3-bf0cbc4c3069 · outbound

This paper cites An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.840674Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.840674Z digest=sha256:a9e6b15fc70de57e4b5d08b14c9489d3893db1231d5699abfac4b0edf1208eaf

Observation dd4aba99-bd05-4ddd-b314-5bd855a912ff · outbound

This paper cites TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem TIME: TabPFN-Integrated Multimodal Engine for Robust Tabular-Image Learning

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.845389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.845389Z digest=sha256:a74f6daba32b2b35f4918bceb6be9f5a384df626af481ddf2699354c217cc36b

Observation b56cf295-9cba-4199-8c6f-c228311e093a · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 59

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.854816Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.854816Z digest=sha256:84e59b36069e1cbbea8ef33d0a9f0dff9e16d80ca8458cfa5976045dbe36bdb1

Observation 2cf589f1-e5bd-4e81-a14e-c33b9e47e4b4 · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 74

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.834869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.834869Z digest=sha256:3b35666bcbedf499ac6a4e77ac1f5545ab43c3edfd2c7c09935be6e3a8b7c4e8

Observation 0b58b996-7e24-435d-b1f9-177b6899d321 · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.849932Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.849932Z digest=sha256:69ca3149dcd2df6a1ededf8fde8023b3efe8cb4a2ba92f20ee3753aa50aea1cc

Observation 655edffe-bda0-451e-94d4-6c690e343a07 · outbound

This paper cites an unresolved cited work.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem Unresolved cited work

Reference 120

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.858727Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.858727Z digest=sha256:d01586437de289745b12a552553447e31687392a02bc5cefd92888d2123b78bd

Observation fa30919e-21ee-4e4a-97d2-bf84b9220a95 · outbound

This paper cites J., & Lee, M.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem J., & Lee, M

Reference 130

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.830549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.830549Z digest=sha256:636a6b71213a83c3e4dd9fbb001d22e0044e5a87e0e95d81e85f28ef066cbafc

Observation da6a709e-b0dc-401d-8dfa-e8de048d171e · outbound

This paper cites S., & Sun, L.

Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem S., & Sun, L

Reference 260

Resolution
unresolved
no resolver link, observed 2026-08-04T06:54:15.862750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T06:54:15.862750Z digest=sha256:d2d8d6e9564eb08d6a06600033f0d9bf4d9f605cb02c269b6bc8b66a188bdec6

Pith citing papers

Observation 21000f57-aab6-4246-bcf5-c853e1fddbdc · inbound

Beyond IID: How General Are Tabular Foundation Models, Really? cites this paper.

Beyond IID: How General Are Tabular Foundation Models, Really? Adaptation and Fine-tuning with TabPFN for Travelling Salesman Problem

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-08-04T02:24:03.086483Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-30T06:59:14.626274Z digest=sha256:ae13d0ff14aaa1de56038b36824ffdae990d68e03c62c40424918ecb606160af