Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2503.09595.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T20:36:25.592202Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-04T19:20:05.829234Z
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 3d95949e-f262-4622-9a1a-f1a603c5a664 · inbound
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation cites this paper.
Hierarchical Fine-grained Preference Optimization for Physically Plausible Video Generation PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:20:22.186537Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c03e26f0-1588-4d45-b863-9f64a2b2282d · 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 PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T20:17:47.035719Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4829e966-aaaa-47c7-9c84-3ae2ca2038a9 · inbound
Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility cites this paper.
Enhancing Physical Plausibility in Video Generation by Reasoning the Implausibility PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-18T12:56:24.313615Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 5a96c1b2-6c02-440d-889f-5b188fb33216 · inbound
Epipolar Geometry Improves Video Generation Models cites this paper.
Epipolar Geometry Improves Video Generation Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T08:20:08.524338Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0bc07f77-31e7-4594-aa9b-133f493404c0 · inbound
Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models cites this paper.
Cloning Deterministic Worlds: The Critical Role of Latent Geometry in Long-Horizon World Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 17
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T02:50:48.335453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 7a4b8c78-39d4-43b5-bf63-13d57d6ac340 · inbound
VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation cites this paper.
VDAWorld: World Modelling via VLM-Directed Abstraction and Simulation PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T17:01:21.381712Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d01f4f46-5ae6-40a8-84c0-0296365d7b69 · inbound
ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models cites this paper.
ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T07:31:35.008173Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 315fd5d0-0ae7-4786-bf81-62962677b2b5 · inbound
ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models cites this paper.
ACWM-Phys: Investigating Generalized Physical Interaction in Action-Conditioned Video World Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-20T23:39:13.483949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 29860421-41d1-4e4a-a1cb-1882df82b8f3 · inbound
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players cites this paper.
Gamma-World: Generative Multi-Agent World Modeling Beyond Two Players PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 30
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T13:53:29.045743Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation beea9972-ed1e-4ae4-9f89-025c73af872d · 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 PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 67
- Resolution
- verified exact
- arxiv_id, observed 2026-06-29T08:33:15.524456Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 47c79b0d-a89b-43dd-acf1-2433d65d3f5d · inbound
Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation cites this paper.
Physics Question Scene Graph: Fine-grained Evaluation of Physical Plausibility in Text-to-Video Generation PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 28
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T19:20:05.832742Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e198d007-90f0-4b1e-b12b-3e428d8acc33 · inbound
PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.
PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 63
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T12:49:53.073681Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation e18b11a0-3830-4c23-b6e8-e6079fe0ed3c · inbound
PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models cites this paper.
PhysEditWorld: A Large-Scale Dataset Toward Physics-Editable World Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 64
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T12:04:39.315062Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 306406d8-6318-4337-aa2e-f8d35d194966 · inbound
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation cites this paper.
PhysRAG: Enhancing Physics-Awareness in Video Generation via Retrieval-Augmented Generation PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 38
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-04T13:19:51.163998Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.
Observation 6c30775e-1d9b-4df1-8129-a98056dff381 · inbound
Learning Explicit Physical Parameter Control and Benchmarking for Video Generation cites this paper.
Learning Explicit Physical Parameter Control and Benchmarking for Video Generation PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T14:02:13.815589Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 208f5677-0a9c-481e-bdef-1bfe5ce8d5e4 · inbound
VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System cites this paper.
VideoCoCo: Code-as-CoT for Physically-Consistent Video Generation via an Agentic Dual-Engine System PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 37
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T08:28:06.105067Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c875056f-4605-431e-808c-22e07407edff · inbound
GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models cites this paper.
GAUGE: A Measurement-Grounded Benchmark for Physical Fidelity in Simulation Engines and Video World Models PISA Experiments: Exploring Physics Post-Training for Video Diffusion Models by Watching Stuff Drop
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T20:36:25.592202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.