Paper Citation Record · LEDGER

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction

As of 16 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:2501.06239.

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

pith.paper-citation-record.v1
2501.06239 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:36:45.186550Z

measured 28 of 28 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

28 of 28 outbound references displayed

verified exact2
verified fuzzy13
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8013cab9-f93c-46ac-9cd7-a38c5831eb49 · outbound

This paper cites A systematic literature review on cyber threat intelligence sharing,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction A systematic literature review on cyber threat intelligence sharing,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.653982Z

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.

Observation e1ef1e8b-4b91-4cd5-9aa0-4eccfc69fa78 · outbound

This paper cites Ar- tificial intelligence methods for cyber threats intelligence,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Ar- tificial intelligence methods for cyber threats intelligence,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.639664Z

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.

Observation fabf8d22-8672-4785-b2f2-34ef25b7b395 · outbound

This paper cites Artificial intelligence, cyber-threats and industry 4.0: Challenges and opportunities,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Artificial intelligence, cyber-threats and industry 4.0: Challenges and opportunities,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.625567Z

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.

Observation e948df5b-d401-4177-9d0d-b34c2e14dd92 · outbound

This paper cites GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.065733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f159ec2d-21f1-4449-bb9f-94e0ed44c62a · outbound

This paper cites Standardizing Cyber Threat Intelligence Information with the Structured Threat Information eXpression (STIX),.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Standardizing Cyber Threat Intelligence Information with the Structured Threat Information eXpression (STIX),

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.610433Z

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.

Observation 739404a6-1c7b-401d-a5d1-235071839a05 · outbound

This paper cites Information extraction: Past, present and future,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Information extraction: Past, present and future,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.596389Z

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.

Observation b4645ee0-7023-467a-bc30-4f62c80f17cc · outbound

This paper cites Information Extraction of Cybersecurity Concepts: An LSTM Approach,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Information Extraction of Cybersecurity Concepts: An LSTM Approach,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.581545Z

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.

Observation e0b727d8-2e43-4cf8-ac3b-3e00c0765fbc · outbound

This paper cites Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Automated Retrieval of ATT&CK Tactics and Techniques for Cyber Threat Reports

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.086812Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc859a7e-6044-4622-95f6-7342dad4c963 · outbound

This paper cites Automated Extraction of Vulnerability Information for Home Computer Security,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Automated Extraction of Vulnerability Information for Home Computer Security,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.567300Z

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.

Observation 40e5cf10-853b-43de-8a9a-3e3cff9a4c32 · outbound

This paper cites A Self-Attention-Based Approach for Named Entity Recognition in Cybersecurity,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction A Self-Attention-Based Approach for Named Entity Recognition in Cybersecurity,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.552624Z

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.

Observation 38f5736a-2184-4068-aaac-3bbdf558ae74 · outbound

This paper cites SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction SignalGP-Lite: Event Driven Genetic Programming Library for Large-Scale Artificial Life Applications

Reference 11

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:36:45.433740Z

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.

Observation 01312aa2-0e56-4072-a740-754e9dc54ee4 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction MTEB: Massive Text Embedding Benchmark

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.106586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 275cf576-331d-40f6-bbeb-950b5f02564a · outbound

This paper cites Cy- ber Threat Intelligence Entity Extraction Based on Deep Learning and Field Knowledge Engineering,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Cy- ber Threat Intelligence Entity Extraction Based on Deep Learning and Field Knowledge Engineering,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.536883Z

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.

Observation ae9b2b63-9c1f-4d04-a0bf-9fc7f8679c87 · outbound

This paper cites CyNER: A Python Library for Cybersecurity Named Entity Recognition.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction CyNER: A Python Library for Cybersecurity Named Entity Recognition

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.116400Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 34895583-21cd-477f-8af2-86c68b3cb6a8 · outbound

This paper cites CTI View: APT Threat Intelligence Analysis System,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction CTI View: APT Threat Intelligence Analysis System,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.523093Z

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.

Observation df2c96c4-2d30-4f8e-85f3-123d8f3b388e · outbound

This paper cites CDTier: A Chinese Dataset of Threat Intelligence Entity Relation- ships,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction CDTier: A Chinese Dataset of Threat Intelligence Entity Relation- ships,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.509381Z

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.

Observation 63bbcc2a-00fc-4d69-8abb-85511d7644cd · outbound

This paper cites STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction STIXnet: A Novel and Modular Solution for Extracting All STIX Objects in CTI Reports

Reference 17

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:36:45.382685Z

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.

Observation e479d9a1-2cd8-4907-b7c7-6b8b4e5d92e7 · outbound

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

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction LLaMA: Open and Efficient Foundation Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.135270Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 874ed71b-df34-4750-ba83-ccb6ebd65e40 · outbound

This paper cites Coherent driving of direct and indirect excitons in a quantum dot molecule.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Coherent driving of direct and indirect excitons in a quantum dot molecule

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T21:36:45.346995Z

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.

Observation c307c868-58a5-4eee-a3d3-81305be6db9e · outbound

This paper cites Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.144884Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dbf8b9a9-1661-4343-8e67-0a19918852a5 · outbound

This paper cites Scaling Instruction-Finetuned Language Models.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Scaling Instruction-Finetuned Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.149698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 19f86e31-f56f-41e5-b07d-76982bbf289d · outbound

This paper cites First Detection of the BAO Signal from Early DESI Data.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction First Detection of the BAO Signal from Early DESI Data

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.155629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5c93853-f208-4dc6-b445-e55041342d2c · outbound

This paper cites Code Llama: Open Foundation Models for Code.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Code Llama: Open Foundation Models for Code

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.160503Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a33aa6c-e4ab-413f-8937-371aa35330f6 · outbound

This paper cites The asymptotic formulae of sums of two smooth squares for divisor function.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction The asymptotic formulae of sums of two smooth squares for divisor function

Reference 24

Resolution: metadata mismatch; local_arxiv, observed 2026-08-10T21:36:45.263768Z

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.

Observation ccb2f6e1-e068-4725-8eb6-78425f9130fd · outbound

This paper cites C-Pack: Packaged Resources To Advance General Chinese Embedding,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction C-Pack: Packaged Resources To Advance General Chinese Embedding,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.494385Z

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.

Observation ff098b5f-8bb4-4ae0-a3f7-c2d2ff62b7a1 · outbound

This paper cites In Defense of Cross-Encoders for Zero-Shot Retrieval.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction In Defense of Cross-Encoders for Zero-Shot Retrieval

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.176453Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c9659bb4-6d27-498a-b307-d4e10e20a274 · outbound

This paper cites Natural language processing in the era of large language models,.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction Natural language processing in the era of large language models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T21:36:45.479729Z

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.

Observation 5ee596d2-8933-468b-855d-7af07fcd1ab4 · outbound

This paper cites An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4.

Towards a scalable AI-driven framework for data-independent Cyber Threat Intelligence Information Extraction An Empirical Study of LLM-as-a-Judge for LLM Evaluation: Fine-tuned Judge Model is not a General Substitute for GPT-4

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-10T21:36:45.186550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.