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Paper Citation Record · LEDGER

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM

As of 21 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 2 inbound Pith citation observations for arXiv:2507.12232.

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

pith.paper-citation-record.v1
2507.12232 v1

Coverage vector

measured 26 of 26 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T16:56:29.289255Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:38:21.858395Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:03:20.466982Z

Reference resolution

26 of 26 outbound references displayed

  • verified exact0
  • verified fuzzy3
  • unresolved23
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e29f4598-c667-47f7-b505-926790be60d6 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM , " * write output.state after.block = add.period write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:27.000797Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:27.000797Z digest=sha256:ce1777795e50da72b824f666bc02d5af9092e5879e4d4f939e578f233ea53076

Observation 5152a063-ac1d-4652-9ab9-ffe232fb1ccc · outbound

This paper cites write newline.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM write newline

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:27.140700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:27.140700Z digest=sha256:23d1d12805c852b2f7163867563fb57644c5cc0f8c24edbbc2b9a1e8b756753c

Observation 4f246494-e1e8-4942-bea4-212e8afcccc6 · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:27.312831Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:27.312831Z digest=sha256:f317d91864446891a00c7404651040f6e756a7241f88513b48715a6a0c1c31b9

Observation 9fd388e5-0b86-4aba-916f-174f0e8a32fe · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:27.426236Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:27.426236Z digest=sha256:d06fd1691acea3c9710d67cfb2dbb0508ebabc49cd752f0878c017fb78f58eeb

Observation 9334a989-074d-4965-b9a1-d76ebce79d0d · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:31.654366Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:27.550157Z digest=sha256:ac9886a8ce3d2ffbb350f5d65aa43605406d969a7a54d4c79307632c1e6b21c9

Observation 9f683dfb-fe8d-42a7-aeee-ce088e775ceb · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:31.467312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:27.691780Z digest=sha256:aedd8eeeb8a76fc989da369630225e5944d33e7083317b69d1796dd3fab2bc19

Observation 0722cf5e-dcf3-4461-ab95-8aeaedaec111 · outbound

This paper cites MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM MobileVLM : A Fast, Strong and Open Vision Language Assistant for Mobile Devices

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:27.787152Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:27.787152Z digest=sha256:dccd6e46d92f857d15342f5be22e1e474f824a2b0c1fdea421c266a3b158c7ef

Observation da38b652-5127-482d-8bd9-13a8e8d39c9b · outbound

This paper cites The DeepFake Detection Challenge (DFDC) Dataset.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM The DeepFake Detection Challenge (DFDC) Dataset

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:27.880148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:27.880148Z digest=sha256:7912845d46ad3203463fe82d7315c4f387445fe5fa1f1afd20ccf1f76b30d2d4

Observation 920110a9-fe3c-4855-984d-2fa3f567789e · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:31.296819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:27.963688Z digest=sha256:8486dcd47ddcc56fc9cdaea26fc7c95566f7084e7233f6eb359b8fbd59ec0807

Observation c5ea3dfb-0487-4e32-b857-d7f103fce7af · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:28.050563Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:28.050563Z digest=sha256:5234a304b2cf276bbfbbd393c3a7557248a34a8173cb272d8973092a79c1844a

Observation d97a410e-278c-48c2-978d-b6221eb298b0 · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:31.105965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.125770Z digest=sha256:98ee1b67b3d4774e835007a227a840ba688bdfe2dae6bdc95ad9db47c0a27dd5

Observation 4e3ade28-204f-47f3-9174-459d9e7fc3a6 · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:28.223257Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:28.223257Z digest=sha256:989344b62013e085841fa503ab00443c60a797c9745d3fbd5c5116a346eeb6e1

Observation 4da56da8-5f1a-41f1-a315-652c88378544 · outbound

This paper cites D.; and Karam, L.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM D.; and Karam, L

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:30.931135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.289141Z digest=sha256:4d0162c5cc35e01288ce6bcf025f5d61d56cc485375127652c656f5d5d578264

Observation 815e120a-e227-4e97-9282-eaafe8df7f6b · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:30.747283Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.356408Z digest=sha256:ca1d2f9efb61f6b59067bd283218fc7aa20bf918efe7717d1b2520ffe4da6d02

Observation f2555e7a-14d2-4045-9b2b-387000ee2d5e · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:28.413848Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:28.413848Z digest=sha256:b5a268cf112b21e82e89c5888b3801cffa014194b241adeeffb4b1654c101b96

Observation 3df63f0c-9d2d-4d16-9774-fbe390710fbd · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:28.497373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:28.497373Z digest=sha256:1b2fde9e0af50ce54751cc63c7715a6b1d8824eca0ef6e729d7f927592e3d655

Observation 059c1a6f-306d-4012-a320-1a34bfc6b88f · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:30.582869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.583966Z digest=sha256:8999e4a5d112f18032b165637a95ba74043a8450a8273357e0058a82fcea1471

Observation 59d4650d-53fb-4e82-ab15-d5283e8ab185 · outbound

This paper cites Towards General Visual-Linguistic Face Forgery Detection.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Towards General Visual-Linguistic Face Forgery Detection

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:28.680726Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:28.680726Z digest=sha256:1d72334a7a825adc14809019caa0025ad7242091c715c793fb7c6e7b3c4f9900

Observation e8e04729-d75a-4429-98f8-628b0ae00cc7 · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:28.753319Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:28.753319Z digest=sha256:7b04d5b910c45ca086c8e4df6f2a0c6204faad847d1931de78ba8fbccc05e137

Observation 073ad62f-168c-4d74-851f-fb6e2842ea49 · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:30.379938Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.838233Z digest=sha256:1346f9caf63069c9ed9bcce19b0cdbe76e8b64130c12193f34dbfc0fb27f895d

Observation ba18eaba-3e55-4818-84f2-83747f614557 · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:30.205358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.924384Z digest=sha256:393ec4cc9a16cd9094556208714cf1ec3e3676d9cc9c7ab6efed0a4245768367

Observation de424372-d52e-4705-9981-e0cf56e6e2ab · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:30.043282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.976648Z digest=sha256:444936153b824dcbf61e96133117a3f671dbe85418f859836740d6c9c54647c3

Observation e293b36f-df66-4bfe-ab98-0d5025924041 · outbound

This paper cites C.; S ahin, Y.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM C.; S ahin, Y

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:29.832644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:29.043081Z digest=sha256:3ba376df660752a2138aa250f075b28c005b8930c69f58a6ea88754d41040494

Observation f3499a9a-5ad7-4104-a174-92983e376e2a · outbound

This paper cites Common Sense Reasoning for Deepfake Detection.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Common Sense Reasoning for Deepfake Detection

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T16:56:29.123849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:56:29.123849Z digest=sha256:3a106d5cbaa533566fec37cba5985a8be629b57e1769edfbd0dba9f3d144b352

Observation 538bdee2-e982-41b5-893f-125ffc952e3e · outbound

This paper cites C.; and Liu, Z.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM C.; and Liu, Z

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T16:56:29.699071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:29.218323Z digest=sha256:49f9560ec211670a6ffdf96b2412a17582be8ea4e94cb00a8fe54af662e63b8d

Observation 9feecc46-f24f-4f48-93b1-bcacfa30950e · outbound

This paper cites an unresolved cited work.

MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-06T16:56:29.603001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-08-06T16:56:29.289255Z digest=sha256:5bedb18d9cb484db1e14ce1f3b4f2979b0fa282dcf8ec4fbec32a4dda706d955

Pith citing papers

Observation a91c4fde-dea5-4d0b-8922-fa9c7d4b6c24 · inbound

Employing Vision-Language Models for Face Image Quality Assessment cites this paper.

Employing Vision-Language Models for Face Image Quality Assessment MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:03:20.469570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-20T14:01:36.342608Z digest=sha256:e4300485b4b1dd579342295348caf509677f3166e5dff3501f929fb40bd6dc45

Observation b1a2f43b-1f7e-4f0e-a4c0-4fc8bf5b5d5c · inbound

Evidence-Grounded Forensic Reasoning for Detecting and Grounding Multi-Modal Media Manipulation cites this paper.

Evidence-Grounded Forensic Reasoning for Detecting and Grounding Multi-Modal Media Manipulation MGFFD-VLM: Multi-Granularity Prompt Learning for Face Forgery Detection with VLM

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-12T00:38:21.858395Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T00:38:21.858395Z digest=sha256:76f95f5cf9278d693178e69557ea3d12b0ea5b8c82f942718009db43aedb0953