Paper Citation Record · LEDGER

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework

As of 9 August 2026, this Paper Citation Record lists 4 of 4 outbound references and 1 inbound Pith citation observation for arXiv:2502.05084.

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

pith.paper-citation-record.v1
2502.05084 v1

Coverage vector

measured 4 of 4 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T20:21:52.803272Z

measured 5 of 5 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:05:07.296991Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T20:05:07.347544Z

Reference resolution

4 of 4 outbound references displayed

verified exact1
verified fuzzy0
unresolved3
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a91816c8-ffe6-4248-bc24-f49cb2ed94c0 · outbound

This paper cites A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents.

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-08T20:21:52.786774Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2172219-1729-4012-96a3-d41583130766 · outbound

This paper cites an unresolved cited work.

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework Unresolved cited work

Reference 186

Resolution: unresolved; raw_fallback, observed 2026-08-08T20:21:52.894449Z

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 ad6f90d7-1094-4847-83ca-b0109ed767b5 · outbound

This paper cites Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts.

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework Intuitive or Dependent? Investigating LLMs' Behavior Style to Conflicting Prompts

Reference 1279

Resolution: verified exact; local_arxiv, observed 2026-08-08T20:21:52.846221Z

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 5664066c-cbd1-4672-b565-900df2a2464e · outbound

This paper cites The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations.

ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework The Troubling Emergence of Hallucination in Large Language Models -- An Extensive Definition, Quantification, and Prescriptive Remediations

Reference 2273

Resolution: unresolved; no resolver link, observed 2026-08-08T20:21:52.797877Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 56c3ab34-57d0-42fa-ba1b-0bf75146533a · inbound

DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments cites this paper.

DK-RRT: Deep Koopman RRT for Collision-Aware Motion Planning of Space Manipulators in Dynamic Debris Environments ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework

Reference 22

Resolution: verified exact; local_arxiv, observed 2026-08-06T20:05:07.350486Z

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.