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Paper Citation Record · LEDGER

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos

As of 11 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 0 inbound Pith citation observations for arXiv:2606.02402.

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

pith.paper-citation-record.v1
2606.02402 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-28T14:49:11.015838Z

measured 23 of 23 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+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

23 of 23 outbound references displayed

  • verified exact18
  • verified fuzzy0
  • unresolved2
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch3

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 910e9840-853d-4b9a-8e95-526a6dac6662 · outbound

This paper cites Qwen3-VL Technical Report.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos Qwen3-VL Technical Report

Reference 1

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verified exact
local_arxiv, observed 2026-07-01T22:56:21.019878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 46c5aad6-4827-4c51-9342-8c0eab89d6ad · outbound

This paper cites Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos Vidu: a Highly Consistent, Dynamic and Skilled Text-to-Video Generator with Diffusion Models

Reference 2

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verified exact
arxiv_id, observed 2026-07-01T22:56:20.987409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 5bf77919-f0fe-4034-89ff-bf61e071b0d1 · outbound

This paper cites DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos DeMamba: AI-Generated Video Detection on Million-Scale GenVideo Benchmark

Reference 3

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metadata mismatch
arxiv_id, observed 2026-07-01T22:56:20.990900Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:e5c5a0ffd6418867150195eea917889a08024ef11ee786a35e64c172b4f0164f

Observation 5b7cbd48-deee-45a1-b3c2-769c29c9a0a9 · outbound

This paper cites GenWorld: Towards Detecting AI-generated Real-world Simulation Videos.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos GenWorld: Towards Detecting AI-generated Real-world Simulation Videos

Reference 4

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verified exact
arxiv_id, observed 2026-07-01T22:56:20.997983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation cb697ec6-d3e4-4ea0-a528-5871370b5b8c · outbound

This paper cites TAO: A Large-Scale Benchmark for Tracking Any Object.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos TAO: A Large-Scale Benchmark for Tracking Any Object

Reference 5

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verified exact
arxiv_id, observed 2026-07-01T22:56:20.994134Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation 9e652f04-b728-418b-b0a6-8a6e0fc8ce17 · outbound

This paper cites URL https://doi.org/ 10.1007/s11633-025-1585-x.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos URL https://doi.org/ 10.1007/s11633-025-1585-x

Reference 6

Resolution
verified exact
doi, observed 2026-06-28T14:52:18.140547Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:9e8a53dff2c586aaa26ef631ecc2401970bc7a7b280bbaa7455647ec192e8cd4

Observation d2a1bb5e-0f55-4dc0-861f-24a5d0bdc911 · outbound

This paper cites MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos MammAlps: A multi-view video behavior monitoring dataset of wild mammals in the Swiss Alps

Reference 7

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verified exact
arxiv_id, observed 2026-06-28T14:52:18.136164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:0065354d2973df180a0f93764bc7e61a724b58e68088490a0e9f7561c42abb95

Observation c3566dca-adf5-447b-a387-2864309192a9 · outbound

This paper cites DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos DAVID-XR1: Detecting AI-Generated Videos with Explainable Reasoning

Reference 8

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verified exact
arxiv_id, observed 2026-07-01T22:56:20.983309Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:6ba051f28c9303fc551f9beaab4c92c1709a1a62e04c189625e43c4603b85ed8

Observation dcfce75b-4cec-43fc-86ce-95bd46b71223 · outbound

This paper cites TRACE: Temporal Grounding Video LLM via Causal Event Modeling.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos TRACE: Temporal Grounding Video LLM via Causal Event Modeling

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:21.023156Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:318d630a514b28e8a878663e2625a679da974395264e5ba4cd75d9ad6a1cfd09

Observation 513f6e77-06bd-4162-aac2-24e68b272f44 · outbound

This paper cites Mpf-net: Exposing high-fidelity ai-generated video forgeries via hierarchi- cal manifold deviation and micro-temporal fluctuations.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos Mpf-net: Exposing high-fidelity ai-generated video forgeries via hierarchi- cal manifold deviation and micro-temporal fluctuations

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:20.979532Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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Observation b6199713-c8d1-4ce7-9876-a4f04930c402 · outbound

This paper cites Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos Ivy-Fake: A Unified Explainable Framework and Benchmark for Image and Video AIGC Detection

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:56:20.975602Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:ef9208fe89a3766cd89d1fb64ab67697e74770378ad395c655f98906ca102875

Observation dc485968-5f2b-4399-bfe0-883d5f3e84d3 · outbound

This paper cites SAM3-I: Segment Anything with Instructions.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos SAM3-I: Segment Anything with Instructions

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:56:20.972035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:bba0d352fd78ed6d001c70838ac32ed6220864fd477f6eaf1fe2d7bb28256da6

Observation ee7994e1-c893-43d1-804c-e83b9c57072b · outbound

This paper cites RareAct: A video dataset of unusual interactions.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos RareAct: A video dataset of unusual interactions

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:21.029679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:4a26d4478e95d3e433b1cf924e92c861d43a7d6bd8721c63d79a747d6c0c44fa

Observation e3892801-e140-46e5-8967-cdec879dc9f1 · outbound

This paper cites SAM 2: Segment Anything in Images and Videos.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos SAM 2: Segment Anything in Images and Videos

Reference 15

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metadata mismatch
local_arxiv, observed 2026-07-01T22:56:21.011014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:0cc45b37c2705fba593281c40665e524b1ff2c0ecf93143d6f30b4868de45602

Observation 7b335eaf-84b1-4f0d-986d-5b7ab5a998a9 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Reference 16

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verified exact
doi, observed 2026-06-28T14:52:18.138304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:fe6d1fa503ce348b4ac7d7ae794e7746961af85311a73ba7908f84ac656797d1

Observation 094d3695-7dc7-4d1d-8bd5-aeccb158fb79 · outbound

This paper cites Kling-Omni Technical Report.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos Kling-Omni Technical Report

Reference 17

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verified exact
local_arxiv, observed 2026-07-01T22:56:21.013915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:9cb539ba0b52ff3b942b682faca5051c12b4619ddb4a0468958f4d1d56d4d022

Observation 38d35d68-d94b-40ad-acac-79d8e4f7c0e7 · outbound

This paper cites BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos BusterX: MLLM-Powered AI-Generated Video Forgery Detection and Explanation

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-07-01T22:56:21.026323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:21d99057da4ef3ffbaf943a0c1446cba4f11d4b9032f0e776aeff532d856d3cd

Observation c65a7618-e07b-4932-b2e3-3ff9977612d5 · outbound

This paper cites BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos BusterX++: Towards Unified Cross-Modal AI-Generated Content Detection and Explanation with MLLM

Reference 19

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metadata mismatch
local_arxiv, observed 2026-07-01T22:56:21.017078Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:9e9581b11019bcd5a42bdfc3165c14bd360639757110afb55d6c933ff858cd87

Observation ae1e7e81-e6b1-4652-80e7-4dc3a32c7afe · outbound

This paper cites Avatarshield: Visual reinforcement learning for human-centric video forgery detection.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos Avatarshield: Visual reinforcement learning for human-centric video forgery detection

Reference 20

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verified exact
arxiv_id, observed 2026-07-01T22:56:21.004892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:0be6bb2cab0b802a39f829ff234c32027bc2c8cefddf1a021b581ee7e2db85dc

Observation 9b2cde43-f414-4bef-b80e-52216ebb352d · outbound

This paper cites D3: Training-Free AI-Generated Video Detection Using Second-Order Features.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos D3: Training-Free AI-Generated Video Detection Using Second-Order Features

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-01T22:56:21.008245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:6e9f8a5f5a322ea1167b12c7631d06130f93e2fa543a89306af202659c177a9f

Observation 96c1f37e-eeec-42f4-a0a3-df3517fd7dcd · outbound

This paper cites Towards Automatic Learning of Procedures from Web Instructional Videos.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos Towards Automatic Learning of Procedures from Web Instructional Videos

Reference 22

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verified exact
local_arxiv, observed 2026-07-01T22:56:21.001172Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:99f666c673a98d45dc61c5f76a219e5d4d638a7a4770e6f0ceb9099decab959a

Observation e54808e4-3fef-4679-9134-d2208e9fab11 · outbound

This paper cites The video durations range from 2 seconds to 124 seconds, encompassing various real-world scenarios such as first-person, third-person perspectives, and indoor/outdoor settings.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos The video durations range from 2 seconds to 124 seconds, encompassing various real-world scenarios such as first-person, third-person perspectives, and indoor/outdoor settings

Reference 23

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no resolver link, observed 2026-06-28T14:49:11.015838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:cdd35e632d9bb726bab297fdb1500b775c297c8fceff14f18e8f4f50865c4937

Observation d0b0bd94-9c77-486b-8bfb-bc394633e8cf · outbound

This paper cites hand motion.

Explainable Forensics of Manipulated Segments in Untrimmed Long Videos hand motion

Reference 24

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unresolved
no resolver link, observed 2026-06-28T14:49:11.015838Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-06-28T14:49:11.015838Z digest=sha256:2950cd54d1b21c2115179926548fe6658997cd32f1362244f67e7b01b3459cdf

Pith citing papers

No inbound Pith citation observations are available.