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Paper Citation Record · LEDGER

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

As of 8 August 2026, this Paper Citation Record lists 26 of 26 outbound references and 1 inbound Pith citation observation 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 27 of 27 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T14:01:36.342608Z

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=sha256:7cacfdb54dc2ce56957a9e9253f27cc566f0e6d3bbe6af605afaf9a74fee5e64

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:f8db98a6f9111aa010c92157ca4bee77b72b707cc37740d5f1aefb578e5e168c

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=sha256:954d32af8b70decbf41d9fd14cefb7864c3e61021d40a8771c389e3f32a805af

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=sha256:6f1a2b0241cd447a8992e13a4a892292d885e28febe3e5355c90856f9c379feb

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:27.550157Z digest=sha256:81c29b583d5701739e2130a1367f14bb96f2c63b2ab91527a47b69e978f03421

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:27.691780Z digest=sha256:966bd1f05d6610e98c5c2e4db891d806d5e7f7b6245538499e0f4661e9159ce4

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=sha256:98891f14a5c28f98abf2e53d91e8a2c2b48805262bb29e11a8a94d99a1ccb478

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=sha256:2785b8eae9dc650a9b35687fa6ce8bb6b7fcccceb8a9a00345b53478906dd782

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:27.963688Z digest=sha256:ffbb5545001f7a3e3f133c00c5a1b3e9cbe4008d361a70f8837e0c9360f0e116

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=sha256:65089967d27c7ba88d0bc8bdc3a5c3d112c99a3237dbce4842f9916f48aac07f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.125770Z digest=sha256:c3ae0d7d283bd11e00e83dc4dcd8123078b0a671ce61a2da5dfb4c1f4bc34380

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=sha256:72dcd218399d0608d5726130caa0999f16e10a78afc9de57ac3035255f35efa2

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.289141Z digest=sha256:50e7d5c0f91c87156341bc7520ed0343bd776fff08dc20702f496a2bd38b99c9

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.356408Z digest=sha256:5996c9d9c1ee1593e87b72d210ba099a614d7dfd05fdaa5980b87594faefc667

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=sha256:9b624d4e9c60ffaf57e023cfcf55884bedc0d0fa6427942387bc55823aea11b0

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:d49f1f7f03860955c52e506614a810c5d6d2fd10e3cfb4b9968e237e01c62479

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.583966Z digest=sha256:5e30fcefdb8c4bd6e6016efa58f995d5241264adfd72bbca0e8f34c438f7d83e

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:cdac5cea8da4fa7bef4f5c3bef8b35897cc8db53cefd8b03ee2cade87abf0864

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=sha256:52502afac5e300aaa9228063245378080cab05ce1c5e204834c0e47b48458369

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.838233Z digest=sha256:b16197da7977ebc8c603ecd1ab181e8d4b947267b75845ece3b6e328416c40ba

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.924384Z digest=sha256:1d6c0e7629132a50dab6e134503bfb54b6f8757713669e132ef4c846b26a383b

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:28.976648Z digest=sha256:eb51c26fdd1e6a1e1f7a63058f02aaf13444c04e666c1680fbc4135000e487ce

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:29.043081Z digest=sha256:f05d485be6e7645cf4691e13803f116069c8b099b71644652b41db1e5c1f8adc

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=sha256:2008cbcb8c24fc784bc68e57213e8bce4c30b862a1ede1ab159543a7ba07c526

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:29.218323Z digest=sha256:f71826b6b9443eade9332de6af595824d95037bbf51eb0e85c9404bba4d2e706

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-06T16:56:29.289255Z digest=sha256:6ff3c76a5d9d1c0c4ec791f6392107ded1a3e270eb187e4a0b9c04af83791cfc

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 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-20T14:01:36.342608Z digest=sha256:9c50886b4d807f40b09426f48ca834e672026a1f4e6d22a30babf65511c7070e