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Paper Citation Record · LEDGER

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora

As of 18 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2506.10737.

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

pith.paper-citation-record.v1
2506.10737 v1

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:25:19.383835Z

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

12 of 12 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation de6216fd-5589-462e-88f7-8541daea169c · outbound

This paper cites We adapt this method to use an LLM to suggest entities based on the root topic t and dimension d.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora We adapt this method to use an LLM to suggest entities based on the root topic t and dimension d

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:25:20.901630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.383151Z digest=sha256:0ff90f05e90ce48502410b36cf3d894f3bca7b748e9483b0768c3fe1a41e5d26

Observation a8b6e454-c0fb-43e0-8eb8-b5be06e9d18d · outbound

This paper cites Specifically, we conduct an iterative process, where we first ask the LLM to identify relevant papers to the dimension, relevant child nodes, and their corresponding papers.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Specifically, we conduct an iterative process, where we first ask the LLM to identify relevant papers to the dimension, relevant child nodes, and their corresponding papers

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:25:20.883653Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.493144Z digest=sha256:75256491654fb6424e6bdf113b202a2f34fcf537aaabdb3aabbe6fed0dcdb451

Observation 855b7851-cf06-48ac-8023-e5850813d0bc · outbound

This paper cites We use the same single-level taxonomy from Section 3.1.2 as the seed input, but modify the label names to similar concepts if they do not already exist within the corpus.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora We use the same single-level taxonomy from Section 3.1.2 as the seed input, but modify the label names to similar concepts if they do not already exist within the corpus

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:25:20.862953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.596478Z digest=sha256:f95da45c919e193afa9ef7422978a323ad7bdc6cabc4f93381095ab6d62ff5e1

Observation be6b1a2d-3712-4e23-a186-6dcc6ec95d44 · outbound

This paper cites A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora A Unified Taxonomy-Guided Instruction Tuning Framework for Entity Set Expansion and Taxonomy Expansion

Reference 4

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:25:19.979773Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.135757Z digest=sha256:dbf2c60cead1e3e8a04a7242e100b38496ecb875e647883563a99615c3d6614b

Observation 2f0f8721-6603-469c-b5f8-3b3aa058bbb5 · outbound

This paper cites an unresolved cited work.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:25:20.845667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.774052Z digest=sha256:b0c59d9382f7a7cb14b73d5d8ffa1cff76c03ea25866165bbfcbc938a2b76a08

Observation 841b934f-bb3f-405e-9686-7f67d3d219b7 · outbound

This paper cites We select 20 papers from width-expanded nodes and 20 papers from depth-expanded nodes.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora We select 20 papers from width-expanded nodes and 20 papers from depth-expanded nodes

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:25:20.777580Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.950336Z digest=sha256:ee7f581d539213817290b8202ba869763ea69f4cb219ccce66f90dab0bca3c80

Observation 44ddaf2a-69b7-4755-9e0c-7d85ea37c33d · outbound

This paper cites an unresolved cited work.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:25:20.613964Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:19.098102Z digest=sha256:6feaa439921b6a24a7027debf0469498a7ab65db149a64120a961b1d74a22498

Observation 813dc366-40a7-4093-9b5c-61b6c24c52f7 · outbound

This paper cites auto- mated fact checking.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora auto- mated fact checking

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:25:20.469547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:19.383835Z digest=sha256:88e102d95c7bdfb6aa5e93c292f95e931ebbd8dc66f5de132c3ef2d2ed257461

Observation ae0c98a7-bc84-411a-a2e9-495d8c0ab235 · outbound

This paper cites Humanities and Social Sciences Commu- nications, 8(1):1–15.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Humanities and Social Sciences Commu- nications, 8(1):1–15

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:25:20.931821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:17.762636Z digest=sha256:8b1d93b3f9f24704a5a3e2c852286de267c4b8c5c40863a8b660b2bfe16eb305

Observation 00c85f31-d738-4ff6-a591-3b66954a3e14 · outbound

This paper cites Advances in neural in- formation processing systems, 35:27730–27744.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Advances in neural in- formation processing systems, 35:27730–27744

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:25:20.916667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.014488Z digest=sha256:cd5a5a73d0098f757bb6f8566061d8e99cbabf0ebde0c50a9e6eeb3098d3685c

Observation 552aeb7a-e500-4418-9d7f-2efa7ac6b985 · outbound

This paper cites Large Language Models Enable Few-Shot Clustering.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Large Language Models Enable Few-Shot Clustering

Reference 2023

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:25:19.662013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:18.275859Z digest=sha256:682252c6632b1d17117d2ad293f96974a63e10ffd65de11963ff3bbc5b53e126

Observation f9cd209a-3157-4b78-a334-0f2200c63d18 · outbound

This paper cites Creating a Fine Grained Entity Type Taxonomy Using LLMs.

TaxoAdapt: Aligning LLM-Based Multidimensional Taxonomy Construction to Evolving Research Corpora Creating a Fine Grained Entity Type Taxonomy Using LLMs

Reference 2024

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:25:20.268330Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-07T04:25:17.868913Z digest=sha256:a9f72c54c6c4ed5d2a43e2a1675fb5e262e22d362e55d82a7f2af1ad48e31c2b

Pith citing papers

No inbound Pith citation observations are available.