Pith. sign in

Paper Citation Record · LEDGER

Programmatic Video Prediction Using Large Language Models

As of 10 August 2026, this Paper Citation Record lists 17 of 17 outbound references and 0 inbound Pith citation observations for arXiv:2505.14948.

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

pith.paper-citation-record.v1
2505.14948 v1

Coverage vector

measured 17 of 17 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:30:11.718568Z

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+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

17 of 17 outbound references displayed

  • verified exact0
  • verified fuzzy4
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation df9c7ff3-8b35-4535-95c0-4c1abba71632 · outbound

This paper cites GPT-4 Technical Report.

Programmatic Video Prediction Using Large Language Models GPT-4 Technical Report

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.190854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.190854Z digest=sha256:f91a8fb4d5454a3eff5355171e028a0ccf4022724ad397d2877448d9d23db8cd

Observation 22ed4e6a-8782-48f2-a013-c00d7edbbb8f · outbound

This paper cites pole” is detected as a “black cart.

Programmatic Video Prediction Using Large Language Models pole” is detected as a “black cart

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:12.147621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:30:11.718568Z digest=sha256:dfc37390d19f7cbeb4d4778b7d4c522ea05dec3c97481cf78b9f07964a3a2030

Observation 4f6330c6-4ae4-4707-8d25-e240bc47d163 · outbound

This paper cites Diffusion Models for Video Prediction and Infilling.

Programmatic Video Prediction Using Large Language Models Diffusion Models for Video Prediction and Infilling

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.812764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.812764Z digest=sha256:234bf16a623438a1a79086f3d551f8737b1cf2972344d72a68e34b8679937a78

Observation 41d371fa-0b0d-4c1a-bf19-b3adc726e8e9 · outbound

This paper cites Car that knows before you do: Anticipating maneuvers via learning temporal driving models.

Programmatic Video Prediction Using Large Language Models Car that knows before you do: Anticipating maneuvers via learning temporal driving models

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:12.747071Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:30:10.883570Z digest=sha256:f441174f39c45e44bdf8023f3d90dd97b241cb299661136235bd144b5a338eb8

Observation 3f2a45de-1123-4c3e-b497-16d9f3cc2d8e · outbound

This paper cites VDT: General-purpose Video Diffusion Transformers via Mask Modeling.

Programmatic Video Prediction Using Large Language Models VDT: General-purpose Video Diffusion Transformers via Mask Modeling

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:11.076093Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:11.076093Z digest=sha256:5316d0234dca946681a4523957537fd272c1fbc2c3e1a3d6577b209e6bb56599

Observation 837119ae-ef25-4c63-be04-abe6e3618ffa · outbound

This paper cites SinFusion: Training Diffusion Models on a Single Image or Video.

Programmatic Video Prediction Using Large Language Models SinFusion: Training Diffusion Models on a Single Image or Video

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:11.156461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:11.156461Z digest=sha256:fac32ef433c31ce6da6f4101529f7e08363e63b9bda671b9605991206111447e

Observation 8cde052d-4e14-4b71-a69e-fd28ea808929 · outbound

This paper cites A fast algorithm for nonlinearly constrained optimization calculations.

Programmatic Video Prediction Using Large Language Models A fast algorithm for nonlinearly constrained optimization calculations

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:12.533415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:30:11.246627Z digest=sha256:d1dbc198666c1503fd8ac33a8117f1831d871869254ff7a09eda4bc9383191a1

Observation 816c6a57-fd57-4468-bd45-8dba583a1448 · outbound

This paper cites LLM-SR: Scientific Equation Discovery via Programming with Large Language Models.

Programmatic Video Prediction Using Large Language Models LLM-SR: Scientific Equation Discovery via Programming with Large Language Models

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:11.470078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:11.470078Z digest=sha256:137367dd8f45115d0ae95bdb2174c911f36fbbdb5ac532581bca823351d3ecd7

Observation 3edb1114-cb0d-4895-8506-bc5228bbc993 · outbound

This paper cites WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment.

Programmatic Video Prediction Using Large Language Models WorldCoder, a Model-Based LLM Agent: Building World Models by Writing Code and Interacting with the Environment

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:11.560232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:11.560232Z digest=sha256:6778b46a84e7292da7b2b49a84c019d7ada1e853266ca4118d7c2382ecbe5d38

Observation 141c27fc-1b57-4ace-8d88-c83c98ddbab0 · outbound

This paper cites Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks.

Programmatic Video Prediction Using Large Language Models Grounded SAM: Assembling Open-World Models for Diverse Visual Tasks

Reference 2006

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:11.338776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:11.338776Z digest=sha256:f11f0c496a5d06ac70ac178946b9498f718a8fa309f87e9029224336c7971094

Observation a71249b7-c2d8-400b-b009-8cdece99d48a · outbound

This paper cites Latent Video Diffusion Models for High-Fidelity Long Video Generation.

Programmatic Video Prediction Using Large Language Models Latent Video Diffusion Models for High-Fidelity Long Video Generation

Reference 2012

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.713998Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.713998Z digest=sha256:c5356b95476f2cffd6218f45a2b4342016f222986672e7838ccc40b37cebbbcb

Observation b2fa6464-2d89-486f-b47a-e8d3a8cb11bc · outbound

This paper cites How Far is Video Generation from World Model: A Physical Law Perspective.

Programmatic Video Prediction Using Large Language Models How Far is Video Generation from World Model: A Physical Law Perspective

Reference 2015

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.968194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.968194Z digest=sha256:a9a0d88a71ab069968ddd5d30ab0b2d4c4897a08064f694928b4425b64c33b07

Observation 3733353e-b3c8-406b-b5fd-c08f5c811b4d · outbound

This paper cites Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets.

Programmatic Video Prediction Using Large Language Models Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

Reference 2017

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.371648Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.371648Z digest=sha256:ede03bed0083f438f2421bd651cd68705953536889aeeb1a489a944896a009f7

Observation 68508ad9-c66a-49cc-8027-b3cb000bb14c · outbound

This paper cites (2015) 30K 0.0176 0.0187 0.0502 0.0544Galileo Wu et al.

Programmatic Video Prediction Using Large Language Models (2015) 30K 0.0176 0.0187 0.0502 0.0544Galileo Wu et al

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T15:30:12.334342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-07T15:30:11.638243Z digest=sha256:7901ebc2e0c7c3fd42d2738dcb21e88f077cc801c8d9911c6035878529c840dd

Observation 01a15451-bd44-4d6e-bc9b-3ff41946bcae · outbound

This paper cites LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines.

Programmatic Video Prediction Using Large Language Models LLMPhy: Parameter-Identifiable Physical Reasoning Combining Large Language Models and Physics Engines

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.507691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.507691Z digest=sha256:b2a9f278de7a2197759729831a3dd879dd4e363417d823efb3034ad24dc09eb3

Observation 483b5d7e-db23-43e9-9c2c-29fb8cd5ca6f · outbound

This paper cites Stochastic Variational Video Prediction.

Programmatic Video Prediction Using Large Language Models Stochastic Variational Video Prediction

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.258176Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.258176Z digest=sha256:d30706c910bc89a7ea3fc4ceb2e210a382fb992423baf6c5c3b0fa91ab91a980

Observation 18fd8010-cef0-4c43-a0bd-1b5a7c624d55 · outbound

This paper cites Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl.

Programmatic Video Prediction Using Large Language Models Interpretable Machine Learning for Science with PySR and SymbolicRegression.jl

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T15:30:10.635908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:30:10.635908Z digest=sha256:0cba4f2236b1ba01dd19d229d2e9f9c4692c62b94d3af7c56fe2549e50fd9bef

Pith citing papers

No inbound Pith citation observations are available.