Paper Citation Record · LEDGER

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks?

As of 4 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 1 inbound Pith citation observation for arXiv:2605.27705.

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

pith.paper-citation-record.v1
2605.27705 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-29T16:39:02.568750Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-26T08:20:31.858817Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-04T10:59:45.815744Z

Reference resolution

14 of 14 outbound references displayed

verified exact10
verified fuzzy0
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch2

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation a3771b09-6cc2-477e-9b81-71a668c38113 · outbound

This paper cites Ivebench: Modern benchmark suite for instruction-guided video editing assessment.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Ivebench: Modern benchmark suite for instruction-guided video editing assessment

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.115616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 38c676ab-6737-409b-aa06-682e0d4bed23 · outbound

This paper cites Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Video-MME-v2: Towards the Next Stage in Benchmarks for Comprehensive Video Understanding

Reference 2

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:43:40.105510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation c2464519-9d5b-4125-a5c5-150a263fb426 · outbound

This paper cites VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? VEFX-Bench: A Holistic Benchmark for Generic Video Editing and Visual Effects

Reference 3

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:43:40.108044Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a79a3e23-4066-4803-b078-76c24f12103f · outbound

This paper cites Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, et al.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Ziqi Huang, Yinan He, Jiashuo Yu, Fan Zhang, Chenyang Si, et al

Reference 4

Resolution: unresolved; no resolver link, observed 2026-06-29T16:39:02.568750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1ffe2d3d-78df-456c-a28e-12427bf2f1b5 · outbound

This paper cites DIRECT: Video Mashup Creation via Hierarchical Multi-Agent Planning and Intent-Guided Editing.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? DIRECT: Video Mashup Creation via Hierarchical Multi-Agent Planning and Intent-Guided Editing

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:43:40.110381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation e2693681-ac93-4d2e-8d70-86c763b979bd · outbound

This paper cites Univa: Universal video agent towards open-source next-generation video generalist.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Univa: Universal video agent towards open-source next-generation video generalist

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.113117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 0be6c9a5-bdf0-4d4f-a1f6-f32b50e7a125 · outbound

This paper cites Shotbench: Expert-level cinematic understanding in vision-language models.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Shotbench: Expert-level cinematic understanding in vision-language models

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.118254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 73dc9f95-8ea7-49ea-9e4c-583204a92097 · outbound

This paper cites MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Reference 8

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:43:40.120617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation fc5e9423-b5b4-48e0-bc67-bf7df13520b8 · outbound

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

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Seedance 2.0: Advancing Video Generation for World Complexity

Reference 9

Resolution: verified exact; local_arxiv, observed 2026-06-29T16:43:40.128384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 10430e20-070c-45b2-b3d4-779e5a7809a9 · outbound

This paper cites Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Solving Inverse Problems with Latent Diffusion Models via Hard Data Consistency

Reference 10

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T16:43:40.133501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation a1e5687d-8d93-4e26-8ea4-975f43baa91c · outbound

This paper cites Diffusion Model-Based Video Editing: A Survey.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? Diffusion Model-Based Video Editing: A Survey

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.130936Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 3e922897-65ae-4521-87df-14dac579f08a · outbound

This paper cites What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? What You See Is What Matters: A Novel Visual and Physics-Based Metric for Evaluating Video Generation Quality

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:43:40.125907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 52c7e478-d89c-4cf8-819a-b6730a9dbb3f · outbound

This paper cites WebArena: A Realistic Web Environment for Building Autonomous Agents.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? WebArena: A Realistic Web Environment for Building Autonomous Agents

Reference 13

Resolution: metadata mismatch; local_arxiv, observed 2026-06-29T16:43:40.123085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.

Observation 93739360-d1c9-41d3-b337-c3aaa85ccd1a · outbound

This paper cites no tts" [#2] shell pip install gtts←Google TTS fallback [#3] shell ffprobe film.mp4→6:20, 1920×1080, 24000/1001 fps [#5] shell cat > generate_tts_parts.py parts = [ (.

AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks? no tts" [#2] shell pip install gtts←Google TTS fallback [#3] shell ffprobe film.mp4→6:20, 1920×1080, 24000/1001 fps [#5] shell cat > generate_tts_parts.py parts = [ (

Reference 14

Resolution: unresolved; no resolver link, observed 2026-06-29T16:39:02.568750Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation cdfdf735-0fdf-477c-a250-6e4a5491e96f · inbound

EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions cites this paper.

EnterpriseClawBench: Benchmarking Agents from Real Workplace Sessions AgenticVBench: Can AI Agents Complete Real-World Post-Production Tasks?

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T10:59:45.817001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-04T06:34:03.388597+00:00.