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Paper Citation Record · LEDGER

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation

As of 10 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2604.09514.

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

pith.paper-citation-record.v1
2604.09514 v1

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-10T16:36:12.879432Z

measured 10 of 10 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 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

10 of 10 outbound references displayed

  • verified exact1
  • verified fuzzy1
  • unresolved7
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a8b3f63c-2288-4860-b6b5-cb57c785252f · outbound

This paper cites Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Fighting Fire with Fire: The Dual Role of LLMs in Crafting and Detecting Elusive Disinformation

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:30:57.391292Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:98a2704b2d79f9abf0956a6592d1e89fe0c8a54de707e6da2ebc1889b48d5a8d

Observation f2b58e12-127e-4609-9caf-cc9f3a0df078 · outbound

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

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Debunk and Infer: Multimodal Fake News Detection via Diffusion-Generated Evidence and LLM Reasoning

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:30:57.394536Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:ec0903b3f8778dfe9d4aa9cd76523f58d08db98644a1fb47fb1979c73588c53c

Observation a3486754-cad0-468c-8082-913a8ccebfcf · outbound

This paper cites an unresolved cited work.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-05-17T14:31:52.434600Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:daa6a7b1790e1901e6125947b452aed3861640c459ce0030e83aba99a4c90d1f

Observation 78c0e43e-6d4a-48f7-8ae2-2a8558d90b28 · outbound

This paper cites an unresolved cited work.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-05-17T14:31:52.444533Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:79a2ff2f2818f1796c0e119b958fc46119df9dce9eae25933043d6fe7e4444ea

Observation da930d1d-a9f0-4df0-9bca-60c4d465437e · outbound

This paper cites an unresolved cited work.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-05-17T14:31:52.437550Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:46c90111d7379e5b2084e0fa9a77e317c3bfcb84c094b2fe844c6b32acf06e2b

Observation 6b33779d-5653-4448-a644-0f15ecd5d71d · outbound

This paper cites an unresolved cited work.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-17T14:31:52.447455Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:2fc114490ac449aaf4bf7c053957d681a92bb0533e007d9438b2277acfdd058f

Observation 86f34c92-2c65-42c5-8b95-ab33baaf6fb8 · outbound

This paper cites an unresolved cited work.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-05-17T14:31:52.450523Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:adb1811b061eece1b76ef94abc757d7e3871760739ced7c9dbde76fad2403d09

Observation f45ffcec-bace-495d-a8cf-3e085425e4a5 · outbound

This paper cites an unresolved cited work.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-05-17T14:31:52.431270Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:105d54d058baf4c413deb5c6214fe3d7ec96313a23db08c3e8c7035be35385aa

Observation 30fc1ffc-0696-4e9d-9f24-aaaa6daeca4f · outbound

This paper cites an unresolved cited work.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-17T14:31:52.440695Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:e9b73a1a29b3a992ef039c980d4c8c58d0d6d11d37e4d8bf50605d6cb4bb7963

Observation a024ecbe-7a60-4fe7-b62e-d170bf580c51 · outbound

This paper cites - If fewer than 3 are present, fill the remaining slots with “none”.

Many Ways to Be Fake: Benchmarking Fake News Detection Under Strategy-Driven AI Generation - If fewer than 3 are present, fill the remaining slots with “none”

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-17T14:31:52.425274Z

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.

source=pdf_text observed=2026-05-10T16:36:12.879432Z digest=sha256:77e62bb566df8a387d3e81cc669cfe27a408c14572672640521e8476dc74be26

Pith citing papers

No inbound Pith citation observations are available.