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Paper Citation Record · LEDGER

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation

As of 7 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 1 inbound Pith citation observation for arXiv:2606.22918.

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

pith.paper-citation-record.v1
2606.22918 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-06-26T09:04:23.965554Z

measured 53 of 53 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-09T03:36:57.168246Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-09T03:45:55.380810Z

Reference resolution

52 of 52 outbound references displayed

  • verified exact2
  • verified fuzzy0
  • unresolved34
  • parse uncertain1
  • malformed identifier0
  • metadata mismatch15

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3fa1e195-0410-4090-a25f-26bd0b8457de · outbound

This paper cites Advances in neural information processing systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in neural information processing systems , volume=

Reference 1

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:4349e08745ed219752244647857bb4bd2ab9a1d6340e4ecce6c824b6c3759875

Observation e36bdf9e-9c82-4a6e-9485-1d2255626418 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in Neural Information Processing Systems , volume=

Reference 2

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:6a27a7f59c595ebebd17dc7503c8ed610d0e220ff905eb3d25a21cb7d3ccf186

Observation 30b6aa39-fd90-4d17-9024-cbe711ee770c · outbound

This paper cites Forty-first International Conference on Machine Learning , year=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Forty-first International Conference on Machine Learning , year=

Reference 3

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:608e73c545d86b73fadc8c2e29e5546037bb35605061f22f14bbadd04fd5c91d

Observation 5ad7ef0b-6a1b-4b12-8b76-d58c6558ba00 · outbound

This paper cites Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , pages=

Reference 4

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:0d7fac952f4561a9a622fe123348d1090b80937f253a5cbf876ce43c80b23a70

Observation 29b6d170-03aa-4c78-87ac-fc97d0768f03 · outbound

This paper cites International Conference on Learning Representations , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation International Conference on Learning Representations , volume=

Reference 5

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:fd115398e78f073880e51270fb5ff23e77d4d712fb884c565669abef0f05a228

Observation 494cc52e-0a45-4538-8d3d-0487d70aa0d5 · outbound

This paper cites RewardDance: Reward Scaling in Visual Generation.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation RewardDance: Reward Scaling in Visual Generation

Reference 6

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metadata mismatch
arxiv_id, observed 2026-07-04T10:09:45.413050Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:20b03ca802cd09230846a3c3899efe01cf71f5eec2b6105ccbf2bfb9384b5ff6

Observation a3284172-76c9-4e98-8737-2e9cf1dbdfdb · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in Neural Information Processing Systems , volume=

Reference 7

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:4cee85144e531b43d6439924974f43c5f34983340e39f77ae0e57b8b76a87738

Observation 241084a7-a459-49df-b380-c974c7fd611b · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 8

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:b42aaec915f299f5580a08483e407063ec3680fadc161af5caeab16265d713b0

Observation 61ded28d-8c76-4788-bd65-0c52ce2c9b9d · outbound

This paper cites Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (lrec-coling 2024) , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Proceedings of the 2024 joint international conference on computational linguistics, language resources and evaluation (lrec-coling 2024) , pages=

Reference 9

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:365eb4e66ab87bbaa1d9ff0eec0e20a2a2815774487ac6e6b865c341e17864f0

Observation 41d5d8ca-bd75-482f-8c81-3bf71f6868f1 · outbound

This paper cites International Conference on Learning Representations , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation International Conference on Learning Representations , volume=

Reference 10

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:7f0a0e4298e40d7cf108d5603d7e2cf1030b8abdcfa8583702deb9c916e05c19

Observation 7e2c8aa6-6fec-46e8-a275-c5d9d023e5a7 · outbound

This paper cites VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation VideoPhy-2: A Challenging Action-Centric Physical Commonsense Evaluation in Video Generation

Reference 11

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arxiv_id, observed 2026-07-04T10:09:45.415761Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:72ef8d11b69ddd4d90b717881d53430a29cbf1bf8304cf00a952281d7f48129a

Observation 20dc1c54-c996-4481-9989-2822646f30e4 · outbound

This paper cites Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Towards World Simulator: Crafting Physical Commonsense-Based Benchmark for Video Generation

Reference 12

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local_arxiv, observed 2026-07-04T10:09:45.403074Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:12175ce5d8cecfe1603c78788a61369809090c3160cd0042097ef6848b8d2197

Observation b3105f87-db35-4e0b-885f-536f07b39ce1 · outbound

This paper cites International Conference on Learning Representations , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation International Conference on Learning Representations , volume=

Reference 13

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:466480a5f3f2ac7124114b727addf98ad6ab0041f8efeb37db7e9c439d9c9696

Observation eea4db30-50e9-4def-bb2f-c53b9546051d · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in Neural Information Processing Systems , volume=

Reference 14

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:617dd97e3656d6b0fab3dcec531ae4a22f89b96e6fe636219bed829c4d8159db

Observation 4461a237-7e30-4f1a-bb94-b22d22454f3c · outbound

This paper cites Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision , pages=

Reference 15

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:61dbeca241d37a8f7109e9a7dd6c0c75a5eb43162bf915a6734c4f14dc2e7afb

Observation f9b1df0d-c172-496a-b3e2-a66e25e8ed6b · outbound

This paper cites International Conference on Learning Representations , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation International Conference on Learning Representations , volume=

Reference 16

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:614a1c5495d05a9bab3ed414a0156b9a92b828b041462814100f8a60d867721a

Observation fedd28fe-db03-499e-aefb-2a52033aac42 · outbound

This paper cites gradient descent.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation gradient descent

Reference 17

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:b861bfcc0b1fdd9c25fd8adb618047232b92d7e57595db44fe92f4692ca9d178

Observation 4d9ea69d-8c20-4ec2-8935-8226e7226208 · outbound

This paper cites Nature , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Nature , volume=

Reference 18

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no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:c0471b3cf6ee392465437bf526ca9905262f6c9eb8b30f0039f95850c60c3a96

Observation 1f00d957-9c79-4efb-8515-20fc65ced53e · outbound

This paper cites DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation DSPy: Compiling Declarative Language Model Calls into Self-Improving Pipelines

Reference 19

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metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.405545Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:d17cd1d337ebd17381d2a95f7541d6bf6d961c32645c02c445c8ff62caca4a76

Observation c716a776-ab15-4099-8577-59dbe79dc274 · outbound

This paper cites Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Proceedings of the 37th Annual ACM Symposium on User Interface Software and Technology , pages=

Reference 20

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:b6287d3a7098af30836d19a6bf360f05d1a4226a8b601434a5521946e8fbc3df

Observation 437048b5-1ff6-47fa-ad62-3cf699ca5278 · outbound

This paper cites Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) , pages=

Reference 21

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:ef1b99c0482e15ca3d9d219daa2bbfb4ebe672962ec4c8b878aee0d89f211459

Observation 23827514-c182-44a0-87d3-e900c8d13ea4 · outbound

This paper cites Findings of the Association for Computational Linguistics: EACL 2026 , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Findings of the Association for Computational Linguistics: EACL 2026 , pages=

Reference 22

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:4c11c97f1c649a313dd953bf4f274f00daeb06414881ba976feaefeb1aab3f04

Observation bac4984d-99b4-4276-9ddd-1da867e6d44a · outbound

This paper cites OpenAI Blog , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation OpenAI Blog , volume=

Reference 23

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:0bf46b21f984f3306eff74c0ecf71de1edca133234ff43a856edc7bebd519237

Observation 26288eb9-43ce-4143-b51e-7d318b5734b5 · outbound

This paper cites International Conference on Learning Representations , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation International Conference on Learning Representations , volume=

Reference 24

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:5a9ab67e4a165a89b3d6237efa1530853b5341aea88c47e0a8995045fde6c796

Observation 0a2cbf08-4983-4889-8867-ab8430126b03 · outbound

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

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Wan: Open and Advanced Large-Scale Video Generative Models

Reference 25

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metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.408052Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:5c223097e1e64211e9fa5b6fe90cb4ba64cd65209e2113ea028ff270bf9c0c9c

Observation 23496bee-bbf9-46b7-8e5e-63b51adc5918 · outbound

This paper cites Cosmos World Foundation Model Platform for Physical AI.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Cosmos World Foundation Model Platform for Physical AI

Reference 26

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metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.410512Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:9188bed9771c11999ee56aaaef6ef525f577bdef09d0748ce4b3b24e4d1ec008

Observation 176a50ab-593a-4a1d-9db5-a7c69c2ea82d · outbound

This paper cites Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages=

Reference 27

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:0f17ca9605c2f16f532f17fd63cbb332f8b0ea50fd8ed3da520242ef70356c84

Observation 46e0f90e-ddc4-4cc1-ab87-14bd99cc6de1 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in Neural Information Processing Systems , volume=

Reference 28

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:83a181343fe688abd48d279a0a708e4c3c8358d9f3c15190a8be83768ebf7e4c

Observation 9796e430-13f9-4d33-86fe-1f9dc27e9644 · outbound

This paper cites International Conference on Machine Learning , pages=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation International Conference on Machine Learning , pages=

Reference 29

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:46df136884794094e70a30682c8a7838058017a6c1c103ccc147a1287001c261

Observation 1428e4e6-ad3d-4e68-ae04-b8b0c34fc3f7 · outbound

This paper cites an unresolved cited work.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Unresolved cited work

Reference 30

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:3b481e60006f2e9e8a0bb53a10335d60f3b4d0dcf99a65ad8ec65af65288792c

Observation 25a2699a-c807-4827-b3ba-3709e6521e66 · outbound

This paper cites Physion: Evaluating Physical Prediction from Vision in Humans and Machines.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Physion: Evaluating Physical Prediction from Vision in Humans and Machines

Reference 31

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metadata mismatch
arxiv_id, observed 2026-07-04T10:09:45.397902Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:da0c06e0205983647a7b4035a29888867ac69d368058a7faab2f85be110413e1

Observation 07c8475d-4031-4873-99d7-e59afc091e73 · outbound

This paper cites National Science Review , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation National Science Review , volume=

Reference 32

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:be9b0212b0d73a588c7ec11ed477fb2b5afbee22711117dbebcf26b157ef73ff

Observation b09ebf83-6f65-4d28-b6eb-ddca72354101 · outbound

This paper cites Advances in neural information processing systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in neural information processing systems , volume=

Reference 33

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:004a9a59127cd5c7be7faa5a32a32c96e0b80b6312541709366066a157393509

Observation cdf67d8b-0149-4d29-b0ce-32027f5fa003 · outbound

This paper cites Advances in neural information processing systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in neural information processing systems , volume=

Reference 34

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:8450376fc74d193d33763380025068f8c162f7d05c4bfc863b66059f5f9ac68e

Observation 6b677d57-e800-4e68-b2f3-f4cb44caf89a · outbound

This paper cites , author=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation , author=

Reference 35

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:d153abfc0dd080143061c346fcec9d15f0426e54c58d74f5ac8f15b96007c64f

Observation 45cfb269-8d39-407f-8bb9-069e40334903 · outbound

This paper cites 2025 , publisher=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation 2025 , publisher=

Reference 36

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no resolver link, observed 2026-06-26T09:04:23.965554Z

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source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:cf79f7c6a187309593f12729286148557ebd09c33281b35fb01688052bbb51c7

Observation 07dd1311-cdcb-43f4-b5d2-e9ff8189d266 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Advances in Neural Information Processing Systems , volume=

Reference 37

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unresolved
no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:95d2e445a96cf2eb927b488388c6cfca3430c011180c6c902b76b1c688d323da

Observation 489486a7-4f82-4188-9c35-71fd15165286 · outbound

This paper cites Self-Preference Bias in LLM-as-a-Judge.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Self-Preference Bias in LLM-as-a-Judge

Reference 38

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.398381Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:3e97f8895c38771caf871d873ac9e9b8663f1c747c430eec380b9f371a2e2f46

Observation 8685f739-d0bb-41c3-ae59-150e98a4f3f0 · outbound

This paper cites The Innovation , year=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation The Innovation , year=

Reference 39

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unresolved
no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:fdbb6ede688d3e8e34f9c32818d2d1d373c736e2ab710b97cf5298c104438763

Observation c9357fad-2f84-4966-be0c-1e7548bfaad4 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 40

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.400919Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:857d9816d407b10f5d1d216780e6bb7f117af14a9e3a6f1d931252c339cbe847

Observation cdd19e54-f1a5-456e-ba82-cb661052651d · outbound

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

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities

Reference 41

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.381901Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:847cac7ba91cfcf6e4038e5a074fb84d92be109ffac5f58c862059cf4dabc7df

Observation a587c4a7-890e-4681-8f9e-ceb2e6b8d930 · outbound

This paper cites Qwen2.5-VL Technical Report.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Qwen2.5-VL Technical Report

Reference 42

Resolution
verified exact
local_arxiv, observed 2026-07-04T10:09:45.384588Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:e8b0f97263bf30d37e757e98f66853f202df48ddc547cbf846f10395ef3c806f

Observation 4871c82a-d972-4481-b820-e6cf241c6eb9 · outbound

This paper cites 2025 , url=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation 2025 , url=

Reference 43

Resolution
unresolved
no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:c85f7a354e39accc0889804cac3e057c95fa06b231d919cdc3b4d23ee4e9de3c

Observation 9459c624-962d-4ac2-9a33-916af85596d5 · outbound

This paper cites Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models

Reference 44

Resolution
verified exact
arxiv_id, observed 2026-07-04T10:09:45.387734Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:800ede2ded08301252aedb08c8c1f523b5c973da788c01b301e7444b5644b6cf

Observation 96cebcdd-7c19-45d3-8412-3c11d3bae0d3 · outbound

This paper cites GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation GLM-4.5V and GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning

Reference 45

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.400481Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:98d14b2b6521b2672455039b3a89f2ffb5298fc1af739b4c334b64377dc3b081

Observation 63d9d7b2-0f37-4d96-aa70-c65315c8022a · outbound

This paper cites MiMo-V2-Flash Technical Report.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation MiMo-V2-Flash Technical Report

Reference 46

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.379383Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:ff2fdbe3c1fe45cc96d3b90837d45c36c27cc6f828a79440e6d1b438ae10cc14

Observation 32b6dc1d-40a6-4d08-98ea-c2237b1e8d06 · outbound

This paper cites GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation GLM-5V-Turbo: Toward a Native Foundation Model for Multimodal Agents

Reference 47

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.392896Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:fc12dfb614f7e5883034ec5da3be0cb38858e5ee80b1e0a4be888ba9c0e36f04

Observation ee87e926-2255-4588-99be-f355ade85a53 · outbound

This paper cites LLaVA-OneVision: Easy Visual Task Transfer.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation LLaVA-OneVision: Easy Visual Task Transfer

Reference 48

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.373865Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:d3127c986c266ec1bd7dd98daacad8246726d87d0a04afc323f2f67026ff6a92

Observation 3092ff16-01cf-481f-b55d-6da7dbc23ca7 · outbound

This paper cites InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation InternVL3: Exploring Advanced Training and Test-Time Recipes for Open-Source Multimodal Models

Reference 49

Resolution
metadata mismatch
local_arxiv, observed 2026-07-04T10:09:45.376942Z

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=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:1ae8c374fa5a4954debe66f8674f163b7e692f7444b493ac2d68d9a79f4ea65c

Observation 7fa45d1c-3aa2-461c-ab5a-4eac91214b88 · outbound

This paper cites 2025 , institution=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation 2025 , institution=

Reference 50

Resolution
unresolved
no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:eadd29c4f3ddd3244ad38ea4648d202ce9c67fe6f20af388b1d5daca95a86600

Observation 2be9efe6-998e-4526-b09f-226059d7dc6b · outbound

This paper cites 0 model card: Towards intelligence frontier for real-world complexity , author=.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation 0 model card: Towards intelligence frontier for real-world complexity , author=

Reference 51

Resolution
unresolved
no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:05c3425c5f06d56036a75ca1c22801518d8c839db858c8abe75b8a483c5842fe

Observation 76d5b84b-d5a9-4b35-9ad7-37cccffdcd39 · outbound

This paper cites an unresolved cited work.

Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation Unresolved cited work

Reference 52

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parse uncertain
no resolver link, observed 2026-06-26T09:04:23.965554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-06-26T09:04:23.965554Z digest=sha256:2c09b573853f2313947be190ac862b665232a557c82a8b50ded6952c242af5b1

Pith citing papers

Observation b13de402-a511-4b9c-9cb1-ffef1cdc9121 · inbound

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops cites this paper.

Recursive Self-Improvement in AI: From Bounded Self-Refinement to Autonomous Research Loops Each Judge Its Own Yardstick: Discovering Per-VLM Taxonomies for Physical Video Evaluation

Reference 57

Resolution
verified exact
local_arxiv, observed 2026-07-09T03:45:55.382139Z

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=2026-07-09T03:36:57.168246Z digest=sha256:99c874f33df713b54f9087ef66b5aa9bbe3e1eb572d813894e06eb2141042837