Paper Citation Record · LEDGER

LEGION: Learning to Ground and Explain for Synthetic Image Detection

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2503.15264.

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

pith.paper-citation-record.v1
2503.15264 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:32:59.704798Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:09:51.417476Z

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 901c5341-2c11-449f-bddf-52d6f0de2cfa · inbound

Toward Generalizable Forgery Detection and Reasoning cites this paper.

Toward Generalizable Forgery Detection and Reasoning LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 45

Resolution: verified exact; arxiv_id, observed 2026-05-22T22:27:12.422654Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 08d60ac3-1c67-41e7-920d-3382ada4a436 · inbound

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models cites this paper.

AIGI-Holmes: Towards Explainable and Generalizable AI-Generated Image Detection via Multimodal Large Language Models LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T20:32:59.704798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba6b4b0e-5943-448c-8af7-e842ce15e622 · inbound

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning cites this paper.

Skyra: AI-Generated Video Detection via Grounded Artifact Reasoning LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-21T16:44:15.988489Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9bd362ac-191a-45c0-b18f-320b8241c09d · inbound

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection cites this paper.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-16T21:41:17.873639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d4cf334a-a402-4928-901a-9cb4eb5f2e9c · inbound

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection cites this paper.

Code-in-the-Loop Forensics: Agentic Tool Use for Image Forgery Detection LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-03T15:38:28.246003Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68f7568d-45f9-4c7d-9208-7e67f555a038 · inbound

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection cites this paper.

UniGenDet: A Unified Generative-Discriminative Framework for Co-Evolutionary Image Generation and Generated Image Detection LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-09T22:44:15.246628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 60abb5a7-73a9-45d3-a12b-358749ed8fb1 · inbound

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection cites this paper.

Omni-Fake: Benchmarking Unified Multimodal Social Media Deepfake Detection LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 44

Resolution: verified exact; arxiv_id, observed 2026-05-11T17:06:04.241733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 197a5f44-c06d-4407-a057-47ff97d27492 · inbound

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation cites this paper.

ReAlign: Generalizable Image Forgery Detection via Reasoning-Aligned Representation LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 19

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:33:42.098569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation c8c4bbd0-866a-4b39-bcfb-6d5f2a37e00b · inbound

Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection cites this paper.

Perception, Verdict, and Evolution: Hindsight-Driven Self-Refining Forensics Agent for AI-Generated Image Detection LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-07-04T13:09:51.419065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation dfd9a138-57a2-4390-b488-1fd870ad5da9 · inbound

TruEye: Fine-Grained Detection of AI-Generated Human Subjects in Images cites this paper.

TruEye: Fine-Grained Detection of AI-Generated Human Subjects in Images LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-07-01T18:35:58.261335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 09a4e573-8163-4720-9098-751ded82be38 · inbound

Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII) cites this paper.

Position: AI/ML Deepfake Research is Misaligned with AI-Generated Non-Consensual Intimate Imagery (AIG-NCII) LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 87

Resolution: unresolved; no resolver link, observed 2026-08-02T13:50:46.793977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7eddc7dd-1d10-477d-b258-593a09b2fa05 · inbound

LaP-Forensics: Latent-Pixel Consistency Guided Multimodal Reasoning for Deepfake Detection cites this paper.

LaP-Forensics: Latent-Pixel Consistency Guided Multimodal Reasoning for Deepfake Detection LEGION: Learning to Ground and Explain for Synthetic Image Detection

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T01:04:33.088587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.