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Paper Citation Record · LEDGER

Instantiating Standards: Enabling Standard-Driven Text TTP Extraction with Evolvable Memory

As of 17 August 2026, this Paper Citation Record lists 5 of 5 outbound references and 0 inbound Pith citation observations for arXiv:2505.09261.

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

pith.paper-citation-record.v1
2505.09261 v1

Coverage vector

measured 5 of 5 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:40:31.979243Z

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

5 of 5 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9e0d740c-048a-4174-80cb-86c4edc9d994 · outbound

This paper cites Cyber threat intelligence mining for proactive cybersecurity defense: A survey and new perspectives,.

Instantiating Standards: Enabling Standard-Driven Text TTP Extraction with Evolvable Memory Cyber threat intelligence mining for proactive cybersecurity defense: A survey and new perspectives,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:40:32.121364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:40:31.961038Z digest=sha256:4ee17b78cb4df0b3b2d95736f34b4ba0c0812bbeae8f3fe32461efd065f9c1a5

Observation 5f78d87f-beba-44d8-9906-7efd98859fb1 · outbound

This paper cites What are the attackers doing now? automating cyberthreat in- telligence extraction from text on pace with the changing threat landscape: A survey,.

Instantiating Standards: Enabling Standard-Driven Text TTP Extraction with Evolvable Memory What are the attackers doing now? automating cyberthreat in- telligence extraction from text on pace with the changing threat landscape: A survey,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:40:32.108852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:40:31.965347Z digest=sha256:fdf2dd9b910d0c4efd2820e0701e105d98f4ec123b868b4a82ce525a5e30b72e

Observation ce5e8250-8183-4363-9323-ff111f8818f8 · outbound

This paper cites On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions.

Instantiating Standards: Enabling Standard-Driven Text TTP Extraction with Evolvable Memory On the Uses of Large Language Models to Interpret Ambiguous Cyberattack Descriptions

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-15T21:40:31.969668Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:40:31.969668Z digest=sha256:91c3badc724ecc7b7a5b1aa17348c60035391970623a8c19937545b6953251a8

Observation ef626290-15bf-4593-99b3-1724aa6f68b2 · outbound

This paper cites Large language models are unreliable for cyber threat intelligence,.

Instantiating Standards: Enabling Standard-Driven Text TTP Extraction with Evolvable Memory Large language models are unreliable for cyber threat intelligence,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-15T21:40:31.974426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T21:40:31.974426Z digest=sha256:a681af30d7695b54527cfa4cbac27c18a4a87fd47347c4aff9f37db94b7fc9e4

Observation eb19a6ea-4ebd-4705-9c1a-4f3c446108fa · outbound

This paper cites Noise contrastive estimation-based matching framework for low-resource security attack pattern recognition,.

Instantiating Standards: Enabling Standard-Driven Text TTP Extraction with Evolvable Memory Noise contrastive estimation-based matching framework for low-resource security attack pattern recognition,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-15T21:40:32.096375Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-15T21:40:31.979243Z digest=sha256:ab50efd5d09500a228afda63bff2bb13a7a83d32ffc64a5dc664656c532b3014

Pith citing papers

No inbound Pith citation observations are available.