Pith. sign in

Paper Citation Record · LEDGER

Impossible Videos

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2503.14378.

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

pith.paper-citation-record.v1
2503.14378 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T17:56:48.355616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T10:25:41.408031Z

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 9034719d-6a2b-4a2c-ac1b-748b2d220026 · inbound

Hallucination of Multimodal Large Language Models: A Survey cites this paper.

Hallucination of Multimodal Large Language Models: A Survey Impossible Videos

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:33:32.884681Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-11T12:33:32.631346Z digest=sha256:010f9e43efdc584b577b90af7fc3bac757e0646cbceb7ace9c22753df3ab361b

Observation 218cf0c3-5a73-418e-bf61-5a4c23ccf024 · inbound

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models cites this paper.

TimeCausality: Evaluating the Causal Ability in Time Dimension for Vision Language Models Impossible Videos

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:02.536850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T15:21:02.536850Z digest=sha256:17fc0cc15bf3a1f7ba43266d393413dd50b1c3e5315b87ee991ea68fc553d443

Observation 6d342f1d-ad5c-427e-b5bd-651c97f9a05e · inbound

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models cites this paper.

Can Your Model Separate Yolks with a Water Bottle? Benchmarking Physical Commonsense Understanding in Video Generation Models Impossible Videos

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T15:27:00.284729Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T15:27:00.284729Z digest=sha256:42eefe7b971edf6129c9731db18285e8d4a4240ef1a1b2a6fc33bbcf28f60865

Observation 3dacba08-9c05-4bb6-a707-90dafb382f8d · inbound

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.

Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation Impossible Videos

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T20:20:19.177850Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:20:19.177850Z digest=sha256:24c623a11b551004af23c1d920ca2dabd2e95095c01746dc8fc6b35c0138a965

Observation 3a7202c5-ea3b-4b6c-be2a-5323b144c4a8 · inbound

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms cites this paper.

From Black Box to Transparency: Enhancing Automated Interpreting Assessment with Explainable AI in College Classrooms Impossible Videos

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T20:17:43.675663Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:17:43.675663Z digest=sha256:5daed3c22152f4dc17fb0d4e5e61eab5272c3543b71fb27eab4aa8ce95271e18

Observation a275aadd-4c5c-4165-af3d-4c09b0b2996d · inbound

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? cites this paper.

VideoASMR-Bench: Can AI-Generated ASMR Videos Fool VLMs and Humans? Impossible Videos

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-16T21:48:34.510240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-16T21:46:43.353305Z digest=sha256:5f0093a936bda16bfb3a30cd4208015a54a25628e9fa7117a6e22a45b1c9e4c2

Observation ad7fc4c9-cdd6-467a-886f-318f9fa57741 · inbound

PhyGround: Benchmarking Physical Reasoning in Generative World Models cites this paper.

PhyGround: Benchmarking Physical Reasoning in Generative World Models Impossible Videos

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-05-12T05:21:29.118097Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-12T05:17:30.010064Z digest=sha256:bac9df58cc2a985254124f1231c40e104383ebff129eeb97ee04205f3f5a7eb9

Observation 49ff22ed-62fd-434c-bba9-1f9da543430d · inbound

YoCausal: How Far is Video Generation from World Model? A Causality Perspective cites this paper.

YoCausal: How Far is Video Generation from World Model? A Causality Perspective Impossible Videos

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-06-29T08:33:15.634414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-06-29T08:27:03.674229Z digest=sha256:3557fff2f04800f25c0c20a5d64ca03de03e775201412a64d61e183912a91b9f

Observation 570a3d17-765f-40d0-9761-98c2e361b2f7 · inbound

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs cites this paper.

No Place to Hide: Benchmarking Video Hallucination with Background-Controlled Pairs Impossible Videos

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T10:25:41.409810Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-01T05:35:08.200219Z digest=sha256:e224ed38b4aa64d9d1f665a59efc74afd4c46974fbb0ffae519ad924343c5b24

Observation 2024a43e-1c99-4351-9be6-eb0a4a932c90 · inbound

FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding cites this paper.

FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding Impossible Videos

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-12T17:56:48.355616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-12T17:56:48.355616Z digest=sha256:5338dae2b9d499f794c7f65f54860c5d5f91d116b0c3ca9f7cf0a9a911751708