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Paper Citation Record · LEDGER

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 2 inbound Pith citation observations for arXiv:2501.08137.

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

pith.paper-citation-record.v1
2501.08137 v4

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:32:41.742289Z

measured 29 of 29 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:45:09.565323Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-10T20:32:41.908336Z

Reference resolution

27 of 27 outbound references displayed

  • verified exact4
  • verified fuzzy19
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation c4a9b1d7-92e4-410a-b166-042ed83550f2 · outbound

This paper cites As their quality im- proves, distinguishing real from fake becomes increasingly difficult, highlighting the need for effective detection systems.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies As their quality im- proves, distinguishing real from fake becomes increasingly difficult, highlighting the need for effective detection systems

Reference 1

Resolution
verified exact
raw_fallback, observed 2026-08-10T20:32:42.080613Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 60fc6975-ea46-46f0-8e98-bf6e35eef785 · outbound

This paper cites Audio-Visual Deepfake Detection With Local Temporal Inconsistencies.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Audio-Visual Deepfake Detection With Local Temporal Inconsistencies

Reference 2

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verified exact
local_arxiv, observed 2026-08-10T20:32:41.915306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 152bfadc-dbde-418f-99f2-cf5de6c72373 · outbound

This paper cites This method, depicted in Fig.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies This method, depicted in Fig

Reference 3

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verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.454473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 76e7a971-f6fc-48cd-a364-12b3d5967d7e · outbound

This paper cites In the example of Fig.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies In the example of Fig

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.437035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.607706Z digest=sha256:4436ec0f085500916733f881221168303b950adaf0ddd33c290d4aeb7a2943c7

Observation b6cced36-70c1-4f5d-9d8e-33d2129ec719 · outbound

This paper cites In the example of Fig.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies In the example of Fig

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.419020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.613495Z digest=sha256:44c4a95a605a48db28e19931d324a5fb6bb0fcac166eec7f94e1de52fcb10e2a

Observation 4b0fa63f-c298-4ff6-a961-516ef19d5100 · outbound

This paper cites an unresolved cited work.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-10T20:32:42.401127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.619363Z digest=sha256:c245f113972820b332498facaf5352211050a51078278d9916f068ed6da5cf7b

Observation 712b05eb-2d3b-476f-b3cb-88628bca27d0 · outbound

This paper cites Experimental setup Dataset.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Experimental setup Dataset

Reference 7

Resolution
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raw_fallback, observed 2026-08-10T20:32:42.382438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 34cb30e0-7526-4021-ac3a-d15eeaecaff4 · outbound

This paper cites Our approach includes both data augmentation and architectural design strategies.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Our approach includes both data augmentation and architectural design strategies

Reference 8

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raw_fallback, observed 2026-08-10T20:32:42.364987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 2335501e-be0c-42f3-800d-d902b2b3978e · outbound

This paper cites Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Finance worker pays out $25 million after video call with deepfake ‘chief financial officer’,

Reference 9

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raw_fallback, observed 2026-08-10T20:32:42.347321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.636521Z digest=sha256:6c927dc215f2aa329399b30c40b2e0c5a2d605eaf580b5b5cbc7df24088373fe

Observation 8f8d2677-3478-497f-a87c-2b2570e86834 · outbound

This paper cites Deepfake video targeting zelen- sky’s wife linked to russian disinformation campaign, cnn analysis shows,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Deepfake video targeting zelen- sky’s wife linked to russian disinformation campaign, cnn analysis shows,

Reference 10

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raw_fallback, observed 2026-08-10T20:32:42.329538Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.641701Z digest=sha256:86d96a3b9c2c79493e1c1ebc9b42423a2d1c6c8a714191b86b4f19a8b577ec42

Observation d6c42971-8305-4bb8-be73-2db60a1b7b04 · outbound

This paper cites Not made for each other- audio-visual dissonance-based deepfake detection and localization,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Not made for each other- audio-visual dissonance-based deepfake detection and localization,

Reference 11

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verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.311370Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.647509Z digest=sha256:4d449ccf58320c99e9cb099139439cb4d47167775bfa03d9e6154987206ae5c2

Observation 9f623f6c-2292-48e1-a361-e09014518b0c · outbound

This paper cites Deepfake video detection using audio-visual con- sistency,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Deepfake video detection using audio-visual con- sistency,

Reference 12

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raw_fallback, observed 2026-08-10T20:32:42.292530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.653065Z digest=sha256:15d44a3b738c99eb5ae4a063d4b40e39fc7756ed4ef6232deb3b9cf590ce206c

Observation d30c7fb4-d297-4deb-b594-ae81ec70f382 · outbound

This paper cites Self- supervised video forensics by audio-visual anomaly de- tection,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Self- supervised video forensics by audio-visual anomaly de- tection,

Reference 13

Resolution
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raw_fallback, observed 2026-08-10T20:32:42.275437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.658930Z digest=sha256:2a304c2c5ac535dc873f7dc5682f66933722337685bb16315c89dd700563aef1

Observation 42a9de0a-5c9f-4838-a624-07f35e618417 · outbound

This paper cites Statistics-aware Audio-visual Deepfake Detector.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Statistics-aware Audio-visual Deepfake Detector

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:32:41.887126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.664921Z digest=sha256:a84ac49352635e434b197541a0744af71bfcc97b94b0ff9650b325046f41cb11

Observation 69ec3a67-d656-4b6c-a3dc-56b483f6806c · outbound

This paper cites Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake detection,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Laa-net: Localized artifact attention network for quality-agnostic and generalizable deepfake detection,

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.257577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.671138Z digest=sha256:4b3d98a67acb5a1a50014e9eaf584d665f5f59b60849376ad082734b837add74

Observation d8ad9094-6ee8-447f-8d51-d0a23b17caf0 · outbound

This paper cites Multi- attentional deepfake detection,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Multi- attentional deepfake detection,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.239292Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.679253Z digest=sha256:e13cf668366ad1bde47c096c1cb5c65229e8945b9e027c4f13db0454ecc4ec72

Observation 1deb87d4-ea3b-4c8a-b05b-1fa369ae6f26 · outbound

This paper cites Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Detecting Audio-Visual Deepfakes with Fine-Grained Inconsistencies

Reference 17

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unresolved
no resolver link, observed 2026-08-10T20:32:41.684775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:32:41.684775Z digest=sha256:9fbe82890cd311ce637cd0877784da7934c40b6b5c8956b84ce57e7b14d24ca0

Observation 6f9e54c1-0488-49f8-b311-48de190513e2 · outbound

This paper cites Avoid-df: Audio-visual joint learning for detecting deepfake,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Avoid-df: Audio-visual joint learning for detecting deepfake,

Reference 18

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verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.220234Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.691250Z digest=sha256:b3560d84611e8c3d8eb17701f13aab7818fed26ee4123811fbb3fbfb57dc07f6

Observation b83bda80-400f-49fb-8a86-51787cb37d26 · outbound

This paper cites AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies AVT2-DWF: Improving Deepfake Detection with Audio-Visual Fusion and Dynamic Weighting Strategies

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:32:41.838870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 17a1bb0f-fb0f-4ea1-becb-636eaf3e2a39 · outbound

This paper cites Avfakenet: A unified end-to-end dense swin trans- former deep learning model for audio–visual deepfakes detection,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Avfakenet: A unified end-to-end dense swin trans- former deep learning model for audio–visual deepfakes detection,

Reference 20

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raw_fallback, observed 2026-08-10T20:32:42.201494Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.702849Z digest=sha256:639ccc4874ff21186cbaea4a8cdc4a049d3e8ea4e89c66c91f653853fcc92108

Observation 6220e73e-4553-4c7f-8ff2-8aa5e3acee5a · outbound

This paper cites V oice-face homogene- ity tells deepfake,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies V oice-face homogene- ity tells deepfake,

Reference 21

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raw_fallback, observed 2026-08-10T20:32:42.183127Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.708898Z digest=sha256:46b04e6663c3d2bec2a40072bdc80f98fe58756c778de41b3e4b02c1cb6306e7

Observation c1f9eb82-e3a4-4fd9-993b-ccf0db4a80de · outbound

This paper cites Do you really mean that? content driven audio- visual deepfake dataset and multimodal method for tem- poral forgery localization,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Do you really mean that? content driven audio- visual deepfake dataset and multimodal method for tem- poral forgery localization,

Reference 22

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verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.161339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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Observation 3ff9eac8-3b0a-4755-b371-d7649cee5850 · outbound

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

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies The DeepFake Detection Challenge (DFDC) Dataset

Reference 23

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unresolved
no resolver link, observed 2026-08-10T20:32:41.719694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:32:41.719694Z digest=sha256:36f59347b71f85c457cee93eb294ca1da311023d80d0e0d4bba108bf2443dec1

Observation 2a89de71-d258-40b9-ace4-9b11ae17bbfd · outbound

This paper cites Fakeavceleb: A novel audio-video multimodal deepfake dataset,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Fakeavceleb: A novel audio-video multimodal deepfake dataset,

Reference 24

Resolution
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raw_fallback, observed 2026-08-10T20:32:42.141211Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.725616Z digest=sha256:b6c2b80d62a03f5b8e3e86f4cdf61b72e654b01486d7630c5243d79a213b164f

Observation d4e17fb1-a34c-4b1f-ab82-d3b0726626ef · outbound

This paper cites Emotions don’t lie: An audio-visual deepfake detection method using affec- tive cues,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Emotions don’t lie: An audio-visual deepfake detection method using affec- tive cues,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.121882Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.731017Z digest=sha256:a42a4fcd90bee3d1ac53b8441eb172f08fb3fdbc38a5e70ace502974e4a9acc9

Observation e632d99a-4b3a-4e8e-8b55-3edf6b4c6a9f · outbound

This paper cites Evaluation of an audio-video multimodal deepfake dataset using unimodal and multimodal detec- tors,.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Evaluation of an audio-video multimodal deepfake dataset using unimodal and multimodal detec- tors,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T20:32:42.103167Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.736818Z digest=sha256:2ddbeb6dd132dd7424c042d587ccc21415fb9ab38dffe1b1710d581e182e5529

Observation 63ca3b55-3047-42b1-9ffc-9851364eb4be · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Adam: A Method for Stochastic Optimization

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T20:32:41.742289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:32:41.742289Z digest=sha256:2a7a0cde9caa4992fb61c0580fccad9182bc2aeacbe5d94f409acf47f33065ba

Pith citing papers

Observation 0b9e89db-2a3d-4f2b-b99a-d9c557148618 · inbound

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey cites this paper.

Passive Deepfake Detection Across Multi-modalities: A Comprehensive Survey Audio-Visual Deepfake Detection With Local Temporal Inconsistencies

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T11:45:09.565323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:45:09.565323Z digest=sha256:47c7001a7a99d017988ed38208012f5bcd1595b1f54171f42ffcc66b70297b36

Observation 60fc6975-ea46-46f0-8e98-bf6e35eef785 · inbound

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies cites this paper.

Audio-Visual Deepfake Detection With Local Temporal Inconsistencies Audio-Visual Deepfake Detection With Local Temporal Inconsistencies

Reference 2

Resolution
verified exact
local_arxiv, observed 2026-08-10T20:32:41.915306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-08-10T20:32:41.596032Z digest=sha256:1957e3774dea8598d937ca114bef8c0d0d0ce0c58640f5f54f339c1d232ac9d4