Paper Citation Record · LEDGER

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization

As of 7 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2506.19992.

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

pith.paper-citation-record.v1
2506.19992 v2

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:02:42.531114Z

measured 20 of 20 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-17T20:45:26.815527Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-17T20:50:15.149614Z

Reference resolution

19 of 19 outbound references displayed

verified exact0
verified fuzzy9
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 37cbae84-4786-4870-82b0-20cfb377d3c7 · outbound

This paper cites Language models are few-shot learners.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Language models are few-shot learners

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.912771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 2723ecde-ddf6-4d2e-bd80-9d4575db9395 · outbound

This paper cites Bert: Pre- training of deep bidirectional transformers for language understanding.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Bert: Pre- training of deep bidirectional transformers for language understanding

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.898341Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 59a01488-b2b3-4a47-8e84-1d124e9feb86 · outbound

This paper cites Text clustering as classification with llms.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Text clustering as classification with llms

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.454220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 657de13e-903b-4e2e-9b7d-be3a51934ea0 · outbound

This paper cites Data clustering: a review.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Data clustering: a review

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.884631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation f0240921-ab8a-4823-8a10-cb0f4f07c787 · outbound

This paper cites Image Clustering Conditioned on Text Criteria.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Image Clustering Conditioned on Text Criteria

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.463619Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a49298-baf5-4499-8e2b-75113b406d7c · outbound

This paper cites Concept induction: Analyzing unstructured text with high-level concepts using lloom.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Concept induction: Analyzing unstructured text with high-level concepts using lloom

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.869476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation d7bcb085-43c2-4df9-bba0-3d8e538d1d47 · outbound

This paper cites Human-interpretable clustering of short text using large language models.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Human-interpretable clustering of short text using large language models

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.852671Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 079b76b7-12dc-4c16-b8c2-2bb598511719 · outbound

This paper cites Twenty Newsgroups.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Twenty Newsgroups

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.478599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1790d1cb-39bb-496b-af60-e1ffd9e25612 · outbound

This paper cites A data and analytics web app framework for python, no javascript required.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization A data and analytics web app framework for python, no javascript required

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.838634Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 8e003b2b-a48a-4cfd-8a01-40b89fb50a1a · outbound

This paper cites Pedregosa, G.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Pedregosa, G

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.822675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation fb09daaf-5f38-4469-bffc-4761b026946f · outbound

This paper cites Learning transferable visual models from natural language supervision.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Learning transferable visual models from natural language supervision

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.806706Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 9934a259-d1dd-4966-bff1-ee8e9cef279c · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.497167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe888d6b-9122-480a-9e24-7a198e394706 · outbound

This paper cites Clio: Privacy-Preserving Insights into Real-World AI Use.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Clio: Privacy-Preserving Insights into Real-World AI Use

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.502976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f8534634-e2aa-458e-a90b-bef229a7bb5e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Gemini: A Family of Highly Capable Multimodal Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.507475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0f3f35d2-9065-49e6-938f-5d969019be87 · outbound

This paper cites Gemma 3 Technical Report.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Gemma 3 Technical Report

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.511891Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1d33105e-90d1-4ef1-a68e-1dab57f2f253 · outbound

This paper cites Context-Aware Clustering using Large Language Models.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Context-Aware Clustering using Large Language Models

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.516483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 492f3eaa-a000-4e84-963d-c8f220b0f956 · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization LLaMA: Open and Efficient Foundation Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.522111Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f40284-de52-4f76-9de8-9644cc78854c · outbound

This paper cites Large language models enable few-shot clustering.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Large language models enable few-shot clustering

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T23:02:42.791684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation e8fea3e8-5d86-4042-9626-d4670169931f · outbound

This paper cites Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach.

HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization Automatic Data Curation for Self-Supervised Learning: A Clustering-Based Approach

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T23:02:42.531114Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 4543c2f6-349c-407d-82a1-3782abd79704 · inbound

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering cites this paper.

LLM-MemCluster: Empowering Large Language Models with Dynamic Memory for Text Clustering HERCULES: Hierarchical Embedding-based Recursive Clustering Using LLMs for Efficient Summarization

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:50:15.151802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.