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Paper Citation Record · LEDGER

EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2310.11440.

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

pith.paper-citation-record.v1
2310.11440 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:20:48.492030Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T15:45:48.902358Z

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 e1bf9d55-310f-4af7-ac8f-d482447640df · inbound

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

OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video Generation EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-05-14T20:34:53.193477Z

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=2026-05-14T20:34:53.141898Z digest=sha256:034482b159f8c31119e29fc6ac61ba3ac0ee40b63f8f2fb8c4107a2462a9354a

Observation c8343e65-6b0e-44fd-93a0-713dfef5029c · inbound

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback cites this paper.

We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-05-22T18:56:58.180700Z

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=2026-05-22T18:56:39.735334Z digest=sha256:898fdbce6163345cc6826384fd777b64aa17de8d7617834d29af8a5d2da0990f

Observation 460896ee-c8a2-4812-9dd4-d12468b3e10f · inbound

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results cites this paper.

NTIRE 2025 XGC Quality Assessment Challenge: Methods and Results EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-07T11:20:48.492030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:20:48.492030Z digest=sha256:7dbc79579d29b09f82f347fbf3c88a94aa9483e6dce487c83040d9bc272bb975

Observation a626de08-5c20-40af-b665-ff05536d79cd · inbound

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models cites this paper.

PAROAttention: Pattern-Aware ReOrdering for Efficient Sparse and Quantized Attention in Visual Generation Models EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T23:51:05.411761Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:51:05.411761Z digest=sha256:d4166feb8722c262f379a5b4e33b55f5b24a39800ef9a94fb2d9fbdcea9b2025

Observation 1cb6445a-274b-4862-9442-5bd5d34957b1 · inbound

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation cites this paper.

AIGVE-MACS: Unified Multi-Aspect Commenting and Scoring Model for AI-Generated Video Evaluation EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T21:03:02.228422Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T21:03:02.228422Z digest=sha256:12a42e4eb1241090581e5871f11bba4b1ad168fcb92a1f99084584bb9c6425ca

Observation 1afd451f-3ce8-435d-8514-c72ede652ee4 · inbound

How Far Are Video Models from True Multimodal Reasoning? cites this paper.

How Far Are Video Models from True Multimodal Reasoning? EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 45

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T12:51:04.086174Z

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=2026-05-10T02:44:52.920816Z digest=sha256:094b19f3b4ee49d04f629f355a3a7e671ef0e81ca7f32b2eb79cde7108ecf26b

Observation b8e445b1-64eb-4ce0-86de-f89746375f01 · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-05-20T05:18:03.150289Z

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=2026-05-20T05:17:11.690484Z digest=sha256:2d8960831565bbc701968e18d67c74415ae9162f72ed88822a8d97cd3e3b2b8d

Observation f302f2bd-8f35-487b-a572-69bfce3f166f · inbound

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation cites this paper.

MSAVBench: Towards Comprehensive and Reliable Evaluation of Multi-Shot Audio-Video Generation EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 38

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:04:58.029339Z

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=2026-06-30T18:00:39.556424Z digest=sha256:dd5e25ffd3002ccc797e60511b07f577c3faec40ccbccae90a1c8b0c07a89990

Observation f82286c3-4c1c-4495-8cc7-f2c98a1792df · inbound

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models cites this paper.

MiraBench: Evaluating Action-Conditioned Reliability in Robotic World Models EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-29T07:53:13.844872Z

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=2026-06-29T07:46:28.469913Z digest=sha256:dc3974efc7eb8b5a481a48b4abb7ebcf179d3809b924ee58ddd1593d354c9375

Observation 5e7b2a1d-6977-49a9-b6ac-baced4d8916c · inbound

A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks cites this paper.

A Good Talk Does not Look Like a Summary, It Teaches You! Measuring Takeaways from Paper-to-Video Talks EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-01T15:45:48.903973Z

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=arxiv_source observed=2026-06-30T00:59:50.478584Z digest=sha256:de39b67a7be3ab7f8d585b2fa21771dede607915a8a84c5fe4283215f9b915a5

Observation e717ed95-87f3-4c23-b934-a0302ca4e29d · inbound

KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation cites this paper.

KeyFrame-Compass: Towards Comprehensive Evaluation of Keyframe-Conditioned Video Generation EvalCrafter: Benchmarking and Evaluating Large Video Generation Models

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-02T02:56:20.214687Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:56:20.214687Z digest=sha256:1f6d209a719aa02618f1ccf5457f351e325df36e288638f9de88a4c44d331079