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Paper Citation Record · LEDGER

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

As of 5 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 3 inbound Pith citation observations for arXiv:2605.12496.

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

pith.paper-citation-record.v1
2605.12496 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-13T05:38:21.587653Z

measured 65 of 65 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:48:06.175705Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T07:56:04.682218Z

Reference resolution

62 of 62 outbound references displayed

  • verified exact33
  • verified fuzzy22
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch7

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0c35e817-0dce-493e-a1cf-ddfd7bc8507c · outbound

This paper cites TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives TALC: Time-Aligned Captions for Multi-Scene Text-to-Video Generation

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.395852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:05f63dcf83d5a7c40c83075767b87db08a3ba053e85d5ecccec3da960615ed3a

Observation 1ef21037-572f-4d11-a238-669177347e9f · outbound

This paper cites Genie: Generative interactive environments.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Genie: Generative interactive environments

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.498270Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:0286077e6e23b146190d8f88da5cf1abc03e92a0f79e68943060072da4c77557

Observation 3ab921f3-10c1-4dab-a738-1d67a6a46167 · outbound

This paper cites Mixture of contexts for long video generation.arXiv preprint arXiv:2508.21058.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Mixture of contexts for long video generation.arXiv preprint arXiv:2508.21058

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.402476Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:79625f9ddc8df885f7e6ef11e330c8639e3962f786824159cdcd20c4e2f5488d

Observation 44aa5837-4210-40eb-82a5-a0d6fbadd50f · outbound

This paper cites Mode seeking meets mean seeking for fast long video generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Mode seeking meets mean seeking for fast long video generation

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.494356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:c880bd474181f5633426ea78245a493d4de4c7dd1fbc019f6975af8a0857ea77

Observation 94312f9f-bded-4df5-a309-afcf3ab43cff · outbound

This paper cites Emerging properties in self-supervised vision transformers.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Emerging properties in self-supervised vision transformers

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.489872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:c4dd9d2fc0ef1e19f7b552a1e4db46b89dd8b666e8dd0d79606e13ac0e85d63a

Observation 24310c87-74ff-4bb8-98ed-2b7f49ff6441 · outbound

This paper cites Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 6

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.329846Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:bb7929ee8b4e9b90048d5d98079adacfd3af5ff0d3de73ef3d664c48b634ed63

Observation 6f27cc11-f075-474f-9e93-5b6b4c24d267 · outbound

This paper cites Self-Forcing++: Towards Minute-Scale High-Quality Video Generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Self-Forcing++: Towards Minute-Scale High-Quality Video Generation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-15T22:39:54.578381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:b783fc757e248af7ac41e865288fb02f111b9d21927ac554d6446990b3232adb

Observation 0aa265d5-6e3c-4070-9d09-aaf7278627a2 · outbound

This paper cites Lol: Longer than longer, scaling video generation to hour.arXiv preprint arXiv:2601.16914.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Lol: Longer than longer, scaling video generation to hour.arXiv preprint arXiv:2601.16914

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.346373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:b43b29796319bcb75ec880c6232e1c4d099a79e3ff136cd9021a33e132c6b80a

Observation a3b44424-6880-429b-82cc-b65f335bb156 · outbound

This paper cites Scaling rectified flow transformers for high-resolution image synthesis.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Scaling rectified flow transformers for high-resolution image synthesis

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.468825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:1fbbb894c541f50b1e19045152e7de6e03a4e8fbd79922d4ede19586a3039a24

Observation 4ec976b2-02fb-4b3e-9134-a4d9cdb2f22b · outbound

This paper cites Long-Context Autoregressive Video Modeling with Next-Frame Prediction.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Long-Context Autoregressive Video Modeling with Next-Frame Prediction

Reference 10

Resolution
verified exact
arxiv_id, observed 2026-05-16T23:05:17.562899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:8beaabca4cfc6d312bbe1996d22612e184d92ac4085d4ddc1ffcdb9576f58b4b

Observation 522f12fe-7851-471a-b310-e27147718568 · outbound

This paper cites End-to-End Training for Autoregressive Video Diffusion via Self-Resampling.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives End-to-End Training for Autoregressive Video Diffusion via Self-Resampling

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T02:17:24.702694Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:b24de4e05c36e71f68d872f9828cdb5911140ae1128a09d355fe8fb7b68bf73a

Observation c1cfc910-3ad7-4e59-8eea-3577117e42d0 · outbound

This paper cites Long context tuning for video generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Long context tuning for video generation

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.464802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:a8721efbd4dd21f35b937d933eb1dacabd34f5ba3c8e132fd2a3a1520cb84105

Observation 635f96c5-2e89-49fd-9c28-2be732ea899c · outbound

This paper cites LTX-2: Efficient Joint Audio-Visual Foundation Model.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives LTX-2: Efficient Joint Audio-Visual Foundation Model

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.248644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:6a909f127385dc883a9df01e8e03d10bd65a65c0a760e06b4cc59c85df5623d0

Observation c6da1c89-8034-4884-b6eb-72d185d8c0d7 · outbound

This paper cites Streamingt2v: Consistent, dynamic, and extendable long video generation from text.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Streamingt2v: Consistent, dynamic, and extendable long video generation from text

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.473463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:344d67fb97965dedf01abd8942fde1156fa9aca44799bfea67a19077d2952b04

Observation 09f61fff-18f6-4533-bb12-7f45fe5996da · outbound

This paper cites SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives SlowFast-VGen: Slow-Fast Learning for Action-Driven Long Video Generation

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.198036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:5a8f7691145b242d407ebe3d0e01f0344f10052694e8bb0f7823bd43c21d4c9c

Observation fffd6d12-190e-4b8f-a69f-78309e10612c · outbound

This paper cites StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives StoryAgent: Customized Storytelling Video Generation via Multi-Agent Collaboration

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:42:21.358995Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:4a456ec57ced37306be4d24e5ef53ff7f7d9e1050b6c8801dd1f8809bc3a7fe1

Observation 122e6f7d-a44a-48e5-bd87-0be38d4dffab · outbound

This paper cites Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Self Forcing: Bridging the Train-Test Gap in Autoregressive Video Diffusion

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.339731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:baaf952471be6de6d91b82d489e6c278ba9e5b6a7611300a7bf49007bd4e4efa

Observation c330c1f8-ecf7-4b1d-a4eb-ebdf59e968f9 · outbound

This paper cites Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Live Avatar: Streaming Real-time Audio-Driven Avatar Generation with Infinite Length

Reference 18

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.265641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:b8968d3434f8cafab402bc87df150d6733c2cc3fa83fa6fabfc9b8e2b821aa1d

Observation e5ba7cb2-9edd-4ea9-acde-1a94016bf316 · outbound

This paper cites Vbench: Comprehensive benchmark suite for video generative models.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Vbench: Comprehensive benchmark suite for video generative models

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.425386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:9eda83fd7b30c9704c9258bf4412e2d7293a384c3455d270be9db6f3df3f5225

Observation 127d563f-8c06-47b3-b796-693efc9b7fd0 · outbound

This paper cites DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives DeepSpeed Ulysses: System Optimizations for Enabling Training of Extreme Long Sequence Transformer Models

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.306589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:d084e9cdfc3bde0323beb4083f1d376014b9c03fc0cc030fc0ce9f980e5167a9

Observation e4c79e2a-5a52-4df7-a5f8-27d08daac28a · outbound

This paper cites Memflow: Flowing adaptive memory for consistent and efficient long video narratives.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Memflow: Flowing adaptive memory for consistent and efficient long video narratives

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.335024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:8f88832bbf33929e1ea97b50d1b74ce4cdb18a8da1ad4e544788f0103d8d4986

Observation 170c1d31-6d5e-4740-91b3-b90ea30369a5 · outbound

This paper cites Jiaxiu Jiang, Wenbo Li, Jingjing Ren, Yuping Qiu, Yong Guo, Xiaogang Xu, Han Wu, and Wangmeng Zuo.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Jiaxiu Jiang, Wenbo Li, Jingjing Ren, Yuping Qiu, Yong Guo, Xiaogang Xu, Han Wu, and Wangmeng Zuo

Reference 22

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:42:21.237718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:5f97668440dbc2a2879c5d7f6bea2480ab61ae2ce7fb3244ee60f93c35ea3b9a

Observation 23450ec6-3ecf-4da3-ab95-c1ff162df95f · outbound

This paper cites Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Avatar Forcing: Real-Time Interactive Head Avatar Generation for Natural Conversation

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-06-02T02:03:37.193094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:68be46728d993c5819550a5087eae2ec591b57343ee6ac374dd91c5964b30736

Observation 0d12c6b0-e022-4e46-b8ea-8f69c5706e33 · outbound

This paper cites Vmem: Consistent interactive video scene generation with surfel-indexed view memory.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Vmem: Consistent interactive video scene generation with surfel-indexed view memory

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.432973Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:4137d4ab923178363e6ae235cdf983b994d0403412fb8fb5fd80598d3b2fcfd1

Observation f0713075-9a29-4214-8170-6e2f62a20826 · outbound

This paper cites Diffusion adversarial post-training for one-step video generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Diffusion adversarial post-training for one-step video generation

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.379262Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:6cdcefe717021a89ecab977a254677253fb573060ade077f82d2d89924914be7

Observation 4d3771fb-9caa-400f-b98f-16d4a87b542b · outbound

This paper cites Rolling Forcing: Autoregressive Long Video Diffusion in Real Time.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Rolling Forcing: Autoregressive Long Video Diffusion in Real Time

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-05-16T11:15:29.350628Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:a2326b6d228651b51473effa60f48954e2be9affa7f857af94724156656e1627

Observation 75a72708-645f-402d-b130-101511345d7e · outbound

This paper cites Realwonder: Real-time physical action-conditioned video generation.arXiv preprint arXiv:2603.05449.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Realwonder: Real-time physical action-conditioned video generation.arXiv preprint arXiv:2603.05449

Reference 27

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.365999Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:ac48778fc1a36f65157d62aa2b1d5cd6032517f04d1b94d7756c214f52ab7756

Observation 1989b758-63bf-4c4e-ac61-19e1326b249c · outbound

This paper cites Videostudio: Generating consistent-content and multi-scene videos.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Videostudio: Generating consistent-content and multi-scene videos

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.420989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:6bec7b04587efbb704516289a5a55d88d97f916f7b39dde1dfdacb8a805b6972

Observation 528c7a79-a5f3-4fd2-a759-949c7e27a743 · outbound

This paper cites MoBA: Mixture of Block Attention for Long-Context LLMs.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives MoBA: Mixture of Block Attention for Long-Context LLMs

Reference 29

Resolution
verified exact
arxiv_id, observed 2026-05-16T06:15:46.352230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:1a7fc7bdf452a185dc57ff6ddd8f2b1d79012c27b660b73b52994b3fe98bb765

Observation 3ceda0ea-06e4-4b2f-86da-c66517cbea29 · outbound

This paper cites Shotstream: Streaming multi-shot video generation for interactive storytelling.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Shotstream: Streaming multi-shot video generation for interactive storytelling

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.260424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:6aa6dd2903e78aaa3f747466b459ace848ffba64e79744344d727f148dfb887e

Observation c567edfe-d392-473d-b59c-85209a6bfb1f · outbound

This paper cites Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, et al.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Team Seawead, Ceyuan Yang, Zhijie Lin, Yang Zhao, Shanchuan Lin, Zhibei Ma, Haoyuan Guo, Hao Chen, Lu Qi, Sen Wang, et al

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:42:21.231424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:766f46762592eb374af32c3ebf0c434ea76eb6a3e4cbc4d53a725b1f92728aea

Observation 5dd74a4d-204d-41e9-9c9e-533f42c083b6 · outbound

This paper cites DINOv2: Learning Robust Visual Features without Supervision.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives DINOv2: Learning Robust Visual Features without Supervision

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.242805Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:51f59de75caa67b91af3cd67ebe100eb210a4ebe0adda95ec1c41d41c011311f

Observation 670045f9-2696-4955-92c2-1b40b0ef4cbf · outbound

This paper cites Scalable diffusion models with transformers.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Scalable diffusion models with transformers

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.435215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:dc08e6957d6611d34a7c9cc1fc203181d7b87c59a86193f3c033faffc7a416c9

Observation 54a2c2ad-bb5b-438f-8195-2956a8a77333 · outbound

This paper cites Maskˆ 2dit: Dual mask-based diffusion transformer for multi-scene long video generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Maskˆ 2dit: Dual mask-based diffusion transformer for multi-scene long video generation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.442759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:2c62bca5ad1cab4c81f1fe00a4460d0e73bdb69267d8fb4016ecf96ca345fe45

Observation 4ae68679-874d-4680-a8ab-9abfc8f3647a · outbound

This paper cites Learning transferable visual models from natural language supervision.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Learning transferable visual models from natural language supervision

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.412016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:ccf78a1b037814f852aeb80668dcd8cdae3e7a9acdb8518c1991db7b048334e3

Observation 878873bc-a1c0-400e-8e69-22f8947a6f51 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Laion-5b: An open large-scale dataset for training next generation image-text models.Advances in neural information processing systems, 35:25278–25294

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.485850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:bf6a86d0490683502d23d7a9da7da3169e52d6429c25773e0821e30fdf58cb78

Observation 20b197fc-1265-4047-bb84-e63fbf54542c · outbound

This paper cites Seedance 2.0: Advancing Video Generation for World Complexity.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Seedance 2.0: Advancing Video Generation for World Complexity

Reference 37

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.318565Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:7cd9da247727b57129b7f9b346d65f674323304efc482ca4c84fa7d85ad68f41

Observation ebd86ca9-3995-4cad-a897-9a2cf8572d6d · outbound

This paper cites Motionstream: Real-time video gen- eration with interactive motion controls.arXiv preprint arXiv:2511.01266.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Motionstream: Real-time video gen- eration with interactive motion controls.arXiv preprint arXiv:2511.01266

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.282997Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:7eae15ee487dd951dacaa8a1bfb58c104d12b293a15365dad72e8983ad253af1

Observation 142d7695-5852-433b-a517-3a3a55fc4f00 · outbound

This paper cites Transnet v2: An effective deep network architecture for fast shot transition detection.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Transnet v2: An effective deep network architecture for fast shot transition detection

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.481630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:5594f66bd38373d0a592330df7ee0b92f7a74bad68a94f4b4192f6f4aad9be18

Observation bc6d22ac-9103-4617-a747-ffb9ab1daf1f · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Gemini: A Family of Highly Capable Multimodal Models

Reference 40

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.384833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:e7ab36b5d0fbeb46e3380db2e1c6d6738b208e1ff89fdc83ccef0bcbacef7ef2

Observation 08c79ffc-38d5-4a31-8489-e15b3c4f690a · outbound

This paper cites Wan: Open and Advanced Large-Scale Video Generative Models.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Wan: Open and Advanced Large-Scale Video Generative Models

Reference 41

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.184222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:1ed82678338bdb60f285f18305900dc468c46053b399ac0d559fadcb0d2fb831

Observation 1222f810-177b-49cc-818c-29860c9a5101 · outbound

This paper cites Echoshot: Multi-shot portrait video generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Echoshot: Multi-shot portrait video generation

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.416009Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:19cbedd0b4047eb7169ee5251a4fd9072abdbd085d8c1dcb23a91f2d09edc068

Observation 9126a276-bdc3-455f-8f63-2b2058f312a3 · outbound

This paper cites Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, and Hao Jiang.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Xierui Wang, Siming Fu, Qihan Huang, Wanggui He, and Hao Jiang

Reference 43

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:42:21.372232Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:e47e79145e076eef172c8f195f63935d64b5be24c7e122020c9ac37fe9e430c6

Observation 479ea9d0-0add-4ce1-b044-588cf404b3e5 · outbound

This paper cites Autostory: Generating diverse storytelling images with minimal human efforts.International Journal of Computer Vision, 133(6):3083–3104.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Autostory: Generating diverse storytelling images with minimal human efforts.International Journal of Computer Vision, 133(6):3083–3104

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.438915Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:69950a03f94e37beca67cce8df9cc3a31bed01fa2f3468282e3362c9a6b7c3f1

Observation 12b3b07f-e37d-4890-a123-a673735728e3 · outbound

This paper cites InternVideo: General Video Foundation Models via Generative and Discriminative Learning.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives InternVideo: General Video Foundation Models via Generative and Discriminative Learning

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-17T00:36:53.574468Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:567a9041e982698e1e7a2b7687c648c1810edf08b9de2cd24b1e4e37cf376495

Observation 0994a83c-63ec-4923-a22f-f68a8437b17c · outbound

This paper cites InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-15T06:30:22.925421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:8dc90f433636fe94de79348669094f76deecd29d1e815daee33d8c19f91dd6c1

Observation e25b583d-79a4-44d0-a443-88effbc48ec1 · outbound

This paper cites Efficient Streaming Language Models with Attention Sinks.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Efficient Streaming Language Models with Attention Sinks

Reference 47

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.324493Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:3c74ef3aa77196668f66792d99dc53b1b777887f25ab3e93fdaec73498757bb2

Observation b08ad45e-8425-4bda-aa56-d2aa86721a15 · outbound

This paper cites Captain cinema: Towards short movie generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Captain cinema: Towards short movie generation

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.477527Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:b3f8f9520f1c37f72f34e81eca3ddba1d2b6596b020daef80c8157bab592a370

Observation ce946097-17ca-4d3b-a895-494603be8767 · outbound

This paper cites arXiv preprint arXiv:2504.12369 , year=.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives arXiv preprint arXiv:2504.12369 , year=

Reference 49

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.177208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:06dd3cba29de8f92e0c2f0d947d4575b70f7a3dbe5641ec28a188a3adb0ac3c4

Observation b6944664-b599-44d7-87f2-ca3a93ab13bf · outbound

This paper cites DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent Framework

Reference 50

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.171034Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:891154f99f7f3ec9ac116d0331c7c3c856cd263490303302341e50d733526b20

Observation 8a7d2bd7-725f-4d5e-a292-8bb75ebf42f7 · outbound

This paper cites LongLive: Real-time Interactive Long Video Generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives LongLive: Real-time Interactive Long Video Generation

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-05-15T03:52:59.837830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:ad9b4cc1927f620a78f6c477848ce7c16e7d08e0ac812c2d19f00e9251c2f51c

Observation 1484d422-1cd0-49c8-b6a3-49cdb3625782 · outbound

This paper cites Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Infinity-RoPE: Action-controllable infinite video generation emerges from autoregressive self- rollout

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.217273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:e5abd8b9b3fc69c9897662d16bf127c55e121201c8a2e45492c850a490e0929d

Observation 16cce77a-6466-4f41-874b-827fe3c1a430 · outbound

This paper cites Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Improved distribution matching distillation for fast image synthesis.Advances in neural information processing systems, 37:47455–47487

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.448149Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:2a4dbf42bc655181b313390b7d621db6b93ef5e581ac8d4d778266d250396889

Observation 29a80e67-5327-42f2-bb36-7d740b650ec6 · outbound

This paper cites One-step diffusion with distribution matching distillation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives One-step diffusion with distribution matching distillation

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.452440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:4a011730ddbad5dc8661602a51513c3a77c928c679aa0e25d07cc37f1ec70122

Observation 58328e55-9a5f-4cff-8943-a865fc073863 · outbound

This paper cites From slow bidirectional to fast autoregressive video diffusion models.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives From slow bidirectional to fast autoregressive video diffusion models

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.456481Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:ed9ca5a3d5260f8f4b011a06d05a8df44eb4aefdea0b08489d0ed6699dcd5940

Observation 20d85220-9e50-45d6-8971-34f44415525d · outbound

This paper cites Context as memory: Scene-consistent interactive long video generation with memory retrieval.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Context as memory: Scene-consistent interactive long video generation with memory retrieval

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.460564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:95af4f1c57d94a24c247a6829749614016d02361ae9a03425d64948268902ecf

Observation 31930703-47ff-4790-8692-136205fc74b5 · outbound

This paper cites Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Lvmin Zhang, Shengqu Cai, Muyang Li, Chong Zeng, Beijia Lu, Anyi Rao, Song Han, Gordon Wetzstein, and Maneesh Agrawala

Reference 57

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:42:21.390164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:d6d4465543b2e67ac2893b9a287d4dd8b20e87822e3fb1fb0c8f938939755beb

Observation c19bf4e7-321e-4529-af31-f1374079f470 · outbound

This paper cites Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, and Qibin Hou.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Yupeng Zhou, Daquan Zhou, Ming-Ming Cheng, Jiashi Feng, and Qibin Hou

Reference 58

Resolution
metadata mismatch
arxiv_id, observed 2026-05-13T05:42:21.294367Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:bec7a49e4a79c0cb369b908e754e660868994e90d707a5704fc07551cee8d507

Observation 6d2c6ac4-4890-47b3-89b8-3e6f55aae497 · outbound

This paper cites PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives PyTorch FSDP: Experiences on Scaling Fully Sharded Data Parallel

Reference 59

Resolution
verified exact
local_arxiv, observed 2026-05-13T05:42:21.209891Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:c6a0bb02d78be49118443ee83cc06a495a4a547fd9bd583eb4a2420b1ffb808d

Observation aac2eee4-0bb1-49a6-a443-78c2418259ab · outbound

This paper cites Videogen-of-thought: Step-by-step generating multi-shot video with minimal manual intervention.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Videogen-of-thought: Step-by-step generating multi-shot video with minimal manual intervention

Reference 60

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:42:21.301274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:6d415b6e76851cbca62f50e3ee65ac29ab2901afc08263b9fa829998ba4d45ef

Observation 007dc8ba-0442-4c59-8a4f-8d140f464133 · outbound

This paper cites Storydiffusion: Consistent self-attention for long-range image and video generation.Advances in Neural Information Processing Systems, 37:110315–110340.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Storydiffusion: Consistent self-attention for long-range image and video generation.Advances in Neural Information Processing Systems, 37:110315–110340

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-05-13T10:17:39.429821Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:4ba702291167a9e414a8021e7f74cd1f2d82c6cb0c6f202f7fb767669d6f2b0c

Observation f3a9cb6e-87dc-489c-a0ca-1a54185bea19 · outbound

This paper cites Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation.

CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives Causal Forcing: Autoregressive Diffusion Distillation Done Right for High-Quality Real-Time Interactive Video Generation

Reference 62

Resolution
verified exact
arxiv_id, observed 2026-05-21T17:32:01.900965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-05-13T05:38:21.587653Z digest=sha256:ff85fbbf31c7ab76a8cc6dae19a5504a85384b232c1c7373aa85b9d076029009

Pith citing papers

Observation 111337ef-8671-4244-b2db-c1d125d07cd6 · inbound

GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling cites this paper.

GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

Reference 33

Resolution
verified exact
local_arxiv, observed 2026-07-04T03:19:30.216440Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-06-26T18:15:51.862192Z digest=sha256:3937e8c16054e528d1164d7c8f6c76bdbc5e71c3605a3e8f64a6212c4cdd27aa

Observation 42d6fbe0-044b-4b6a-8632-21e067b2b31f · inbound

GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling cites this paper.

GroundShot: Visually Consistent Multi-Shot Long Video Generation via Entity-Grounded Shot Scheduling CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-02T10:48:06.175705Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T10:48:06.175705Z digest=sha256:2ac07ea276049fa6e393af8b8c4be50a3f28ddf07f0e369dcdef33f30af71f42

Observation 4e183a8a-376d-4eff-a0b4-2c9b670f37a0 · inbound

Infinite Worlds with Versatile Interactions cites this paper.

Infinite Worlds with Versatile Interactions CausalCine: Real-Time Autoregressive Generation for Multi-Shot Video Narratives

Reference 32

Resolution
verified exact
local_arxiv, observed 2026-07-09T07:56:04.683623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-09T07:51:36.802801Z digest=sha256:5301bf26b80a391cfdb27ed3ba2e5bfefe23a326eacb66465dceb2e279df03e5