Pith. sign in

Paper Citation Record · LEDGER

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

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.383151Z digest=sha256:ec46a56d9f49b44a68159736c7f6e6e0636b4eaf3355a683f296ed21ca21722b

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.493144Z digest=sha256:48fbe7fc115363992c1b00426bb4f579b022c384e450d60c70d97ef1c44d3b6a

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.596478Z digest=sha256:589046cb2d4edccc20219315bb32b4b7a22e5e12b3d54f001537e648b4cdc880

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.135757Z digest=sha256:ca588efeece667224710adb4e68e55a5b18b357f0f46f98634b4f33053373351

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.774052Z digest=sha256:50a1a7a6fa3356269f11a29aa8341f4b86369b58c4fb0798f08c452c6cb4824c

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.950336Z digest=sha256:50d5da41f279bfaa292299875fdb6b885c9f97f8f4c12c5260c2378465243ae8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:19.098102Z digest=sha256:223e3f16fb5aad1a280616e2383b49bf289c5f232a8002f0ebc1642bbb105759

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:19.383835Z digest=sha256:54eb35d0562ede1d3d6804aeca94017cada6c1db7f6bf944155b8312f4750cd8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:17.762636Z digest=sha256:7b92116fb2268efb2d211d735c34645bb38ea793a76411e9fd3e735902368bec

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.014488Z digest=sha256:77206bcc3de6159a8271885798bace127bea6861afd4583eb01b0f8386e645b0

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:18.275859Z digest=sha256:0ffa0d833f9c6a61535cd0e51128f07f8abab3263e7fd0c3614c83861e1594c8

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 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-07T04:25:17.868913Z digest=sha256:0da70a119c62710f63da9aab6efa7997a212e4232aafe9a112584ec1b448fb57

Pith citing papers

No inbound Pith citation observations are available.