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Paper Citation Record · LEDGER

CI-VID: A Coherent Interleaved Text-Video Dataset

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2507.01938.

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

pith.paper-citation-record.v1
2507.01938 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T20:43:56.260106Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+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

36 of 36 outbound references displayed

  • verified exact0
  • verified fuzzy19
  • unresolved17
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 43c302e5-3448-4025-a67e-3f2addf75b44 · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

CI-VID: A Coherent Interleaved Text-Video Dataset Flamingo: a visual language model for few-shot learning

Reference 1

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Unavailable: canonical work link unavailable.

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Observation 9ebc2bbc-2b1f-4875-8e90-0bf649427181 · outbound

This paper cites Qwen2.5-VL Technical Report.

CI-VID: A Coherent Interleaved Text-Video Dataset Qwen2.5-VL Technical Report

Reference 2

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Observation 4802eb36-4927-402e-9cb4-ba5de35f8b21 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

CI-VID: A Coherent Interleaved Text-Video Dataset Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation bacf8874-ee68-4c67-b252-4550bb47cc04 · outbound

This paper cites Video generation models as world simulators, 2024.

CI-VID: A Coherent Interleaved Text-Video Dataset Video generation models as world simulators, 2024

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation dc6d1286-0035-4aa1-9ff1-5e25eab8a452 · outbound

This paper cites Muse: Text-To-Image Generation via Masked Generative Transformers.

CI-VID: A Coherent Interleaved Text-Video Dataset Muse: Text-To-Image Generation via Masked Generative Transformers

Reference 5

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Observation 893d855c-e8c7-4912-934f-7574eb969633 · outbound

This paper cites Sharegpt4v: Improving large multi-modal models with better captions.

CI-VID: A Coherent Interleaved Text-Video Dataset Sharegpt4v: Improving large multi-modal models with better captions

Reference 6

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation b16689d6-c1ab-4694-956c-5fefb917da8e · outbound

This paper cites Panda-70m: Captioning 70m videos with multiple cross-modality teachers.

CI-VID: A Coherent Interleaved Text-Video Dataset Panda-70m: Captioning 70m videos with multiple cross-modality teachers

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 5ae716e0-f550-4984-a7e7-c66ce3d745bf · outbound

This paper cites CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation.

CI-VID: A Coherent Interleaved Text-Video Dataset CoMM: A Coherent Interleaved Image-Text Dataset for Multimodal Understanding and Generation

Reference 8

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Observation 72c26b38-ff68-4f8c-9868-bfce4f575a80 · outbound

This paper cites Yolo-world: Real-time open-vocabulary object detection.

CI-VID: A Coherent Interleaved Text-Video Dataset Yolo-world: Real-time open-vocabulary object detection

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:54.373281Z digest=sha256:657843bb658f3708d330fe7270432537c3d16e01caeba5630dade293854d2931

Observation 54f45424-b34c-4608-89b0-aff910a20f3f · outbound

This paper cites Autoregressive Video Generation without Vector Quantization.

CI-VID: A Coherent Interleaved Text-Video Dataset Autoregressive Video Generation without Vector Quantization

Reference 10

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source=pdf_text observed=2026-08-06T20:43:54.436324Z digest=sha256:a42ac93e46073537ddd9cfe5ec44cc2a42c23de2f481fcdf712d0e03eea36093

Observation 9778989b-e92b-49d3-868a-b5a4894899e0 · outbound

This paper cites Long video generation with time-agnostic vqgan and time- sensitive transformer.

CI-VID: A Coherent Interleaved Text-Video Dataset Long video generation with time-agnostic vqgan and time- sensitive transformer

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation af402e0c-d85b-4ea5-bd6b-07dec89b34af · outbound

This paper cites Imagebind: One embedding space to bind them all.

CI-VID: A Coherent Interleaved Text-Video Dataset Imagebind: One embedding space to bind them all

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 914b15d5-6e58-4f7d-a702-6ff1ec805cbd · outbound

This paper cites Language is not all you need: Aligning perception with language mod- els.

CI-VID: A Coherent Interleaved Text-Video Dataset Language is not all you need: Aligning perception with language mod- els

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation d7786ac6-bae9-48bf-9099-ed46134fe665 · outbound

This paper cites Vbench: Comprehensive bench- mark suite for video generative models.

CI-VID: A Coherent Interleaved Text-Video Dataset Vbench: Comprehensive bench- mark suite for video generative models

Reference 14

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raw_fallback, observed 2026-08-06T20:43:58.374454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation c2f98bf3-07c7-456a-ab32-346e99bbbc1e · outbound

This paper cites GPT-4o System Card.

CI-VID: A Coherent Interleaved Text-Video Dataset GPT-4o System Card

Reference 15

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source=pdf_text observed=2026-08-06T20:43:54.807590Z digest=sha256:177173e3371e4a48a59eeb0aa34cbf1f5e210493fd431ec174a9a8d4d1ebc0e7

Observation 78cac45b-6862-4a70-85a1-77d031eb7518 · outbound

This paper cites Phi-2: The surprising power of small language models.

CI-VID: A Coherent Interleaved Text-Video Dataset Phi-2: The surprising power of small language models

Reference 16

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:54.870766Z digest=sha256:07e51a49c2c1a98359f1d0ac2abffa4b436a91efd5a8364a8cb4c5c2a3645a0d

Observation e987e9a4-bb83-4785-bf3c-4dbd864715b2 · outbound

This paper cites Miradata: A large-scale video dataset with long durations and structured captions.

CI-VID: A Coherent Interleaved Text-Video Dataset Miradata: A large-scale video dataset with long durations and structured captions

Reference 17

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:54.927779Z digest=sha256:95ab8ed354e7582916d495ad48604c1e80634df428dc4b3836347f51acc09777

Observation b4c6a182-0564-4b9c-844f-bb400bca1984 · outbound

This paper cites VideoPoet: A Large Language Model for Zero-Shot Video Generation.

CI-VID: A Coherent Interleaved Text-Video Dataset VideoPoet: A Large Language Model for Zero-Shot Video Generation

Reference 18

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Observation 7ce8d505-8d75-4718-a23e-d4d7ae723baf · outbound

This paper cites Obelics: An open web-scale filtered dataset of interleaved image-text documents.

CI-VID: A Coherent Interleaved Text-Video Dataset Obelics: An open web-scale filtered dataset of interleaved image-text documents

Reference 19

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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Observation 0f68c233-efe3-4ba6-af5f-2241af2a0f34 · outbound

This paper cites Autoregressive image generation without vec- tor quantization.

CI-VID: A Coherent Interleaved Text-Video Dataset Autoregressive image generation without vec- tor quantization

Reference 20

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raw_fallback, observed 2026-08-06T20:43:57.745356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:55.161115Z digest=sha256:5ed39bfc5ad5e365220a78f57814952c0f6d6e7536ef63e07d594d16f044195b

Observation e87fad39-fdeb-4355-a567-ee6e2f2406ed · outbound

This paper cites Open-Sora Plan: Open-Source Large Video Generation Model.

CI-VID: A Coherent Interleaved Text-Video Dataset Open-Sora Plan: Open-Source Large Video Generation Model

Reference 21

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source=pdf_text observed=2026-08-06T20:43:55.215759Z digest=sha256:528e90ac3ba491d758c4309a2a415e82ce214ec59374679528d801b32c413187

Observation f7658d01-f6fa-45a2-afa7-233a783f36ac · outbound

This paper cites Decoupled weight decay regularization.

CI-VID: A Coherent Interleaved Text-Video Dataset Decoupled weight decay regularization

Reference 22

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:55.273819Z digest=sha256:52cdfb86b872915d8a5bf5636af2e5d0697624b37bddea0618ec2a9e2a190514

Observation 89f81468-e333-496d-89e9-bb1d430facfe · outbound

This paper cites OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation.

CI-VID: A Coherent Interleaved Text-Video Dataset OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation

Reference 23

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source=pdf_text observed=2026-08-06T20:43:55.332249Z digest=sha256:8f3398721bfd7b55401f9ddd2bd538f97dac5a1138f9a0dd166588b6b6606a2a

Observation 798a4ad3-fd62-4e98-bbfa-b8dbaddf5a59 · outbound

This paper cites Improved denoising diffusion probabilistic models.

CI-VID: A Coherent Interleaved Text-Video Dataset Improved denoising diffusion probabilistic models

Reference 24

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source=pdf_text observed=2026-08-06T20:43:55.417925Z digest=sha256:556b1ce09b78b909f217c5cbe55947418ab70ad711850827995bf48ca4ed5e1d

Observation fa9d88cf-5aae-4e94-ac11-49ca387fde33 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

CI-VID: A Coherent Interleaved Text-Video Dataset Learning transferable visual models from natural language supervi- sion

Reference 25

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raw_fallback, observed 2026-08-06T20:43:57.392652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:55.498051Z digest=sha256:f9cfcfc35dce506f6141c7e22a5094b8ba73f054f0562ca99a76261826671ea8

Observation 9189915f-074b-4403-b8f3-ffb67b1a3b52 · outbound

This paper cites Exploring the limits of transfer learning with a unified text-to-text transformer.

CI-VID: A Coherent Interleaved Text-Video Dataset Exploring the limits of transfer learning with a unified text-to-text transformer

Reference 26

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source=pdf_text observed=2026-08-06T20:43:55.572174Z digest=sha256:11e1016ddc069f9ca761533e5827be478cf31564af0278821404da90733c33df

Observation d2d364bf-b8a7-4e32-a9bc-c6e60bf5a320 · outbound

This paper cites Laion-5b: An open large-scale dataset for training next generation image-text models.

CI-VID: A Coherent Interleaved Text-Video Dataset Laion-5b: An open large-scale dataset for training next generation image-text models

Reference 27

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raw_fallback, observed 2026-08-06T20:43:57.221343Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:55.613145Z digest=sha256:3f305101bd58b5e29d877743a531591c2f0004ba9f9f311ba430e4bef5b446c7

Observation 53aeb84d-0c09-40bc-a54b-87155aaad337 · outbound

This paper cites Raft: Recurrent all-pairs field transforms for optical flow.

CI-VID: A Coherent Interleaved Text-Video Dataset Raft: Recurrent all-pairs field transforms for optical flow

Reference 28

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source=pdf_text observed=2026-08-06T20:43:55.668887Z digest=sha256:46d36d44f0b9d2e662566665828c9c48623761b314b6e4f90bb1b3708e2873a7

Observation 60b811d9-46b6-4faf-b471-aa4e413b4c5b · outbound

This paper cites VideoTetris: Towards Compositional Text-to-Video Generation.

CI-VID: A Coherent Interleaved Text-Video Dataset VideoTetris: Towards Compositional Text-to-Video Generation

Reference 29

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source=pdf_text observed=2026-08-06T20:43:55.726610Z digest=sha256:abf613fca40f31acfd749748b29da8e9aa8d72cc6f868e38c1b83d28f3f5f34b

Observation affb843b-73a5-4689-9c36-cc35776635b7 · outbound

This paper cites Mcvd-masked conditional video diffusion for prediction, generation, and interpolation.

CI-VID: A Coherent Interleaved Text-Video Dataset Mcvd-masked conditional video diffusion for prediction, generation, and interpolation

Reference 30

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raw_fallback, observed 2026-08-06T20:43:57.045291Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:55.792112Z digest=sha256:7d06bad8ea619b3102031fbbabc9fb3a6cc8e2cddef28cadc9c6d1a830fe8591

Observation c2bdba8a-bd9b-481b-8228-7e8c00c13748 · outbound

This paper cites Emu3: Next-Token Prediction is All You Need.

CI-VID: A Coherent Interleaved Text-Video Dataset Emu3: Next-Token Prediction is All You Need

Reference 31

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:43:55.887241Z digest=sha256:b4d2d553b92f40a8be55df17d3237df9f7e9819358619bd131e979867a470a22

Observation 2f0879d8-0e8e-4004-86de-263b2740616c · outbound

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

CI-VID: A Coherent Interleaved Text-Video Dataset InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

Reference 32

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source=pdf_text observed=2026-08-06T20:43:55.960100Z digest=sha256:e18a84a213ec6d331ba094898c7c800dd642523eac532f4509edf0f362d0e067

Observation a67842d9-e018-4f27-a2d6-f5a6c0c93625 · outbound

This paper cites Ad- vancing high-resolution video-language representation with large-scale video transcriptions.

CI-VID: A Coherent Interleaved Text-Video Dataset Ad- vancing high-resolution video-language representation with large-scale video transcriptions

Reference 33

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verified fuzzy
raw_fallback, observed 2026-08-06T20:43:56.897955Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-06T20:43:56.037650Z digest=sha256:7d510e0f04625cbc2e94af78d5c395b3580d8e9ca32c93550b836a0a8bfd972f

Observation ae47c4a9-105c-400c-bcc5-1530b30d7e8f · outbound

This paper cites Vript: A Video Is Worth Thousands of Words.

CI-VID: A Coherent Interleaved Text-Video Dataset Vript: A Video Is Worth Thousands of Words

Reference 34

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source=pdf_text observed=2026-08-06T20:43:56.117027Z digest=sha256:e140ad370bdd58fdfa42fed109accf670492cd46abf1087d656d29bb55021f98

Observation 79c2dbd5-ad44-4826-90c9-d8dd9ada56d2 · outbound

This paper cites CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer.

CI-VID: A Coherent Interleaved Text-Video Dataset CogVideoX: Text-to-Video Diffusion Models with An Expert Transformer

Reference 35

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source=pdf_text observed=2026-08-06T20:43:56.196408Z digest=sha256:bf47ad958578024b41c189d59bc4441e4c0e242db722da5d55c4363f1cc54db7

Observation acf65951-163e-4df2-8e47-77145e20c97e · outbound

This paper cites Multimodal c4: An open, billion-scale corpus of images interleaved with text.

CI-VID: A Coherent Interleaved Text-Video Dataset Multimodal c4: An open, billion-scale corpus of images interleaved with text

Reference 36

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verified fuzzy
raw_fallback, observed 2026-08-06T20:43:56.654879Z

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source=pdf_text observed=2026-08-06T20:43:56.260106Z digest=sha256:9017d9b0d6d4e82451927497873518a51fd44256580fe80f4e1548862c7cef66

Pith citing papers

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