Paper Citation Record · LEDGER

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering

As of 9 August 2026, this Paper Citation Record lists 21 of 21 outbound references and 0 inbound Pith citation observations for arXiv:2509.00990.

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

pith.paper-citation-record.v1
2509.00990 v1

Coverage vector

measured 21 of 21 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T13:04:04.003748Z

measured 21 of 21 standing notices

One-hop event checks from named stored sources.

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

21 of 21 outbound references displayed

verified exact4
verified fuzzy3
unresolved11
parse uncertain0
malformed identifier1
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 800b27c7-05ca-48d0-834e-9c9c51b33b4a · outbound

This paper cites Top2Vec: Distributed Representations of Topics.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Top2Vec: Distributed Representations of Topics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.936235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db152ef0-1ef9-4dff-885e-7de3f2bb144a · outbound

This paper cites Ariai and G.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Ariai and G

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.941114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a4e39c9b-e191-4008-bb2d-24c44069ce06 · outbound

This paper cites Methods for Computing Legal Document Similarity: A Comparative Study.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Methods for Computing Legal Document Similarity: A Comparative Study

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:04:04.957410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db25309e-7ae4-4104-bbe6-97ac4669468b · outbound

This paper cites Legal case document similarity: You need both network and text.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Legal case document similarity: You need both network and text

Reference 4

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T13:04:04.794395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0fec29ee-2c52-4e25-a8f6-0b5f75345366 · outbound

This paper cites Latent dirichlet allocation.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Latent dirichlet allocation

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:04:05.526293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 022f7919-a6a0-4e69-a9d8-223033d52035 · outbound

This paper cites Large-scale multi-label text classification on EU legislation.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Large-scale multi-label text classification on EU legislation

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.955796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96ac50de-b662-4f9c-ac0b-18edfcfff7d9 · outbound

This paper cites LEGAL-BERT: The Muppets straight out of Law School.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering LEGAL-BERT: The Muppets straight out of Law School

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.959236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 76c17033-f497-4efc-a020-5981ef9057db · outbound

This paper cites Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Unveiling Themes in Judicial Proceedings: A Cross-Country Study Using Topic Modeling on Legal Documents from India and the UK

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-08-05T13:04:04.623768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation a416c185-72da-41d3-a613-45f8073c3e49 · outbound

This paper cites node2vec: Scalable feature learning for networks.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering node2vec: Scalable feature learning for networks

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.965649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e67aee3-d581-4b1e-98a5-038b273bf973 · outbound

This paper cites CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering CUAD: An Expert-Annotated NLP Dataset for Legal Contract Review

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.968363Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0ba78b9-a343-4efb-ae08-abf1482092f4 · outbound

This paper cites Learning the parts of objects by non-negative matrix factorization.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Learning the parts of objects by non-negative matrix factorization

Reference 11

Resolution: malformed identifier; no resolver link, observed 2026-08-05T13:04:03.971898Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 993477fc-3c92-4167-8f1f-3ded834a8c93 · outbound

This paper cites Exploratory analysis of legal case citation data using node embedding.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Exploratory analysis of legal case citation data using node embedding

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:04:05.281371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation bf7ecd5b-158a-4d58-ba64-9344a8b2f62e · outbound

This paper cites MacQueen.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering MacQueen

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.979148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 94658417-cb6f-44c5-ba47-0b42b0ad6183 · outbound

This paper cites Normalized Mutual Information to evaluate overlapping community finding algorithms.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Normalized Mutual Information to evaluate overlapping community finding algorithms

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.982130Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 620e8625-15cb-40d6-aeaf-0e8bc0103484 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.985063Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b68283c1-3e71-4c48-a84c-047c2e6e3bb7 · outbound

This paper cites An analysis of topic modelling for legislative texts.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering An analysis of topic modelling for legislative texts

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T13:04:05.153413Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09d00316-e6e3-44c2-8379-ea03397f752b · outbound

This paper cites Silhouettes: a graphical aid to the interpretation and validation of cluster analysis.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Silhouettes: a graphical aid to the interpretation and validation of cluster analysis

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.991350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd6dc8ea-c373-48ec-bf19-8d0dd2b28398 · outbound

This paper cites Estimating the dimension of a model.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Estimating the dimension of a model

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T13:04:03.994302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation afba0faa-4928-470a-8fc8-61b90caa55ec · outbound

This paper cites Email thread identification using latent dirichlet allocation and non-negative matrix factorization based clustering techniques.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Email thread identification using latent dirichlet allocation and non-negative matrix factorization based clustering techniques

Reference 19

Resolution: verified exact; doi, observed 2026-08-05T13:04:04.031912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7bd16cee-8e2a-454d-baa9-ce7d5018f521 · outbound

This paper cites Acord: An expert-annotated retrieval dataset for legal contract drafting.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering Acord: An expert-annotated retrieval dataset for legal contract drafting

Reference 20

Resolution: verified exact; raw_fallback, observed 2026-08-05T13:04:04.255157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2de0b51e-b325-45cd-9f6d-52bd968cddf5 · outbound

This paper cites When does pretraining help? assessing self-supervised learning for law and the casehold dataset of 53,000+ legal holdings.

Hybrid Topic-Semantic Labeling and Graph Embeddings for Unsupervised Legal Document Clustering When does pretraining help? assessing self-supervised learning for law and the casehold dataset of 53,000+ legal holdings

Reference 21

Resolution: metadata mismatch; raw_fallback, observed 2026-08-05T13:04:04.175444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Pith citing papers

No inbound Pith citation observations are available.