Pith. sign in

Paper Citation Record · LEDGER

Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2407.08952.

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

pith.paper-citation-record.v1
2407.08952 v6

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:05:51.088509Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:50:38.320783Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 56d9c02e-7034-4b05-9979-fe82ac170210 · inbound

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation cites this paper.

Socio-Culturally Aware Evaluation Framework for LLM-Based Content Moderation Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T13:05:51.088509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:05:51.088509Z digest=sha256:b85b632892d8ed3c4edc4aa600ca06b2636f547cf70ac16a21e9814825c5e72a

Observation e48639c1-c315-40cb-986d-767e1e9deb67 · inbound

Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms cites this paper.

Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media Platforms Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-10T16:25:33.049404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T16:25:33.049404Z digest=sha256:ead5fd6e2ba70aac719a7ebceed3a1a27f0eeba6162efc663d39abadf94e2fa6

Observation 6fd7c71d-305a-48fe-96be-456cb247b3c2 · inbound

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions cites this paper.

Challenges and Innovations in LLM-Powered Fake News Detection: A Synthesis of Approaches and Future Directions Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-09T19:25:47.327682Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:25:47.327682Z digest=sha256:0883f758ab197b31bef130d9c159368d3d15774dae792cb0bce911c7b795164b

Observation 6061ceed-bcc2-45e8-bae1-f248c5718841 · inbound

Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning cites this paper.

Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T04:51:45.275681Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:51:45.275681Z digest=sha256:ded874d85a8b2eaefbcf5f87439e2a66aac771a83ad48c75654649e375e432b6

Observation 2c8dc983-84c7-40fa-b588-b925e28e7345 · inbound

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction cites this paper.

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:50:38.323207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-05-18T01:47:35.232468Z digest=sha256:66f17babb1c2de2a80e7d85b7b81a2f57f5c4b28d28f6aac422039993cf8c254

Observation a23d5501-fb3f-4760-a0c0-44ec418c6fb4 · inbound

Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions cites this paper.

Large Language Models and Social Media Information Integrity: Opportunities, Challenges, and Research Directions Detect, Investigate, Judge and Determine: A Knowledge-guided Framework for Few-shot Fake News Detection

Reference 117

Resolution
unresolved
no resolver link, observed 2026-08-08T18:47:38.285633Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:47:38.285633Z digest=sha256:a30a87f63a5df4798c5366c8074835953d7be51a0335924102438897eb9c07ff