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Paper Citation Record · LEDGER

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

As of 15 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 2026-08-15T06:32:42.880941+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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.383151Z digest=sha256:4fa896fd71bb51c3c2503698a82d19db571bc5aeefd6306ad470af377b2ae535

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.493144Z digest=sha256:ee24f5ab1a3902991beaf7cc0607fd899c89ac03ded1ae85a0deea2b94a45a9f

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.596478Z digest=sha256:f926a0948d846f732127d7a99076ff95283c96293ba76bbb47363ecab031e800

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.135757Z digest=sha256:7d80a01781500e0ad7fa5f5bd61bc796d9492c9e5470e183ba71e7ee749e0028

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.774052Z digest=sha256:e154e3267fdb6233baabde07e63b75f97869ac3d1301bf093f688fa2404a48d1

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.950336Z digest=sha256:690c0537f0c487a3d4d94d3ad48bccdec98458dc89876b2daf996300683b9f95

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:19.098102Z digest=sha256:dcba46856967e5747d0bbde3b0ca94a5ffecd9d1e1099e7aadc00b4119258c4c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:19.383835Z digest=sha256:0a636d6445e7c7ade812cf237042743bfbd3328370abe3452ea63fc7cd8a86f8

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:17.762636Z digest=sha256:53eca604e0032eb2f21179a5d17cf50429681a4b4bea0bca2db1a79eff68382c

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.014488Z digest=sha256:58371cf64a104c2775b1b8c4d1941e34abfbf69cffe4f367ce14163febd6d9db

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:18.275859Z digest=sha256:dd40305f3259295ed0769beb9c28b41f3c45ffc62140173010c93ceae33b9a41

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 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:25:17.868913Z digest=sha256:07aeaed358b1e6acb1f07ab8b0ad360e08ff206d13efacd7c4a74d5a442e832f

Pith citing papers

No inbound Pith citation observations are available.