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Paper Citation Record · LEDGER

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment

As of 17 August 2026, this Paper Citation Record lists 56 of 56 outbound references and 0 inbound Pith citation observations for arXiv:2607.13941.

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

pith.paper-citation-record.v1
2607.13941 v1

Coverage vector

measured 56 of 56 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T03:19:52.733177Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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

56 of 56 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved55
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d4a7b491-720d-46de-81fb-ea0ec26acb32 · outbound

This paper cites GPT-4 Technical Report.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment GPT-4 Technical Report

Reference 1

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:51.539910Z digest=sha256:eb0fba5716bc9a9e78a997de7b933bb2a0391faee5ece12b51cb91e2aedcd44c

Observation 7fa696e2-815b-455f-a566-fe54bfc32348 · outbound

This paper cites Qwen3-VL Technical Report.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Qwen3-VL Technical Report

Reference 2

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source=pdf_text observed=2026-08-02T03:19:51.673431Z digest=sha256:a0e69be707a504d131792ba26a4d1c09565e4e930ab3b9863d5b607bbfbab83c

Observation 12b62318-72b8-41cb-8ca5-06574bc335bd · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 3

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:51.707619Z digest=sha256:84afa7ef5d4265af338ce8af24857de47b80f70cb880127e45894b54114b07b6

Observation 12852904-5f7a-4ff1-9af9-35944a95a7ee · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 4

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source=pdf_text observed=2026-08-02T03:19:51.801352Z digest=sha256:1f06d5f967f819ce9e44483ae9e8f573ef0088b0750fd6a35b3fec97c2d72733

Observation 7fc31333-59ea-44d5-b56b-c42ffd43b442 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 5

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source=pdf_text observed=2026-08-02T03:19:51.813119Z digest=sha256:af679e00d23fffc76da4f0e241444a65993256fc0fe3bb66f9cb2638584012b6

Observation ac45394d-c379-4e75-9b93-673e3dd34ab3 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 6

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:51.836771Z digest=sha256:6c847ed4085513dbb57aee96f427f7b8288d2b7a2770af703b29e8d1db227696

Observation 4deec701-9caa-41d3-9b2a-6e5bc2015e0a · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 7

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:51.936054Z digest=sha256:9dd104c6bd03c087c1c9d7a4f9eb72489060f27f3da406e7f70065ab35401dc3

Observation 00b86495-2297-48c2-ae28-079813907a37 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 8

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source=pdf_text observed=2026-08-02T03:19:52.047389Z digest=sha256:f4b588c1b55a01383e74869d32a338a30d67e9a3d8f48721f697ba9109484234

Observation bf6b234a-6072-4fff-bc99-3855728b5974 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 9

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source=pdf_text observed=2026-08-02T03:19:52.106761Z digest=sha256:d1d27fe9bac0b9edb81ff2eb0ebf944d85428fc6416619520da53008cb787f11

Observation 09111cd8-8b1e-4136-958e-7f924d27e16a · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 10

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source=pdf_text observed=2026-08-02T03:19:52.176404Z digest=sha256:3ac7ece4db478ebc8f196a900a610c3db9655bfeccded107de7677091b67d66c

Observation 9805a1a0-809e-44ec-8bfe-6c203b816182 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 11

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source=pdf_text observed=2026-08-02T03:19:52.233147Z digest=sha256:1f09bc0e89f1bfc46e78946703539f6ee00cb4f0efe23b1b28e5f9a0aced036b

Observation 350ed90c-5357-4644-978f-db1f60167ed5 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 12

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source=pdf_text observed=2026-08-02T03:19:52.358360Z digest=sha256:a647e081c523acdbf2be992cdf544f56447acc7ca8eee9c19c55773e18098675

Observation a5c1ba3f-b549-479e-91b5-267e5870720b · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-02T03:19:52.457391Z digest=sha256:5e42ef7284453fee1ebe37ed632576db3f463748599b80e1f2c8c9dc3168a52b

Observation 7f889859-d17a-472c-a724-7564f3ce6b8e · outbound

This paper cites The Kinetics Human Action Video Dataset.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment The Kinetics Human Action Video Dataset

Reference 14

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source=pdf_text observed=2026-08-02T03:19:52.474963Z digest=sha256:4013d85125c1361c1804babccabc118aaebb46b80cd8371c0bd07d8e54da23a9

Observation 267f7aec-31a6-443b-a7d9-d56273e26414 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 15

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source=pdf_text observed=2026-08-02T03:19:52.523815Z digest=sha256:3dc13835fb494d8e49d38bc09e22d666f3bd7e1ad81bc1b565f7504c5907b201

Observation 49ea7270-7ac7-4089-ac64-28e3b95e43aa · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 16

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source=pdf_text observed=2026-08-02T03:19:52.532731Z digest=sha256:1e129232b70cb035d625a3e5a38687334df5f29c9c23e04c393b9f3384d9e813

Observation efe0eceb-c14e-4bbc-872d-7b8812f760bd · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 17

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source=pdf_text observed=2026-08-02T03:19:52.551360Z digest=sha256:88a24fd135e5db24dde2ed25fe0a618520ba3fcbc4ef0d163a8ffbae1317d2b6

Observation 239ef19e-3040-45d8-b63a-01424ed2b263 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 18

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source=pdf_text observed=2026-08-02T03:19:52.559954Z digest=sha256:b5c22eea3eccd5ac1cab486c477aad2ead4ce3ca26033a92343b0c28053bc49e

Observation 0b75c6a4-9167-4a65-857e-2c47dd7f1a7e · outbound

This paper cites Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Next Token Is Enough: Realistic Image Quality and Aesthetic Scoring with Multimodal Large Language Model

Reference 19

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source=pdf_text observed=2026-08-02T03:19:52.568443Z digest=sha256:242d8d4b6ad2716a2b8b0319c14bad37517a90b463c607f25953a8562f8edd37

Observation 283bea3c-32c0-4ee7-81b7-fe4e1da2dfaf · outbound

This paper cites Q-Insight: Understanding Image Quality via Visual Reinforcement Learning.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Q-Insight: Understanding Image Quality via Visual Reinforcement Learning

Reference 20

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source=pdf_text observed=2026-08-02T03:19:52.579696Z digest=sha256:cab99f7bd431ba66704b03d3a79e84fec4e60f8d97dfdcf8949cfa38d044bd82

Observation 203ff82f-0204-46c2-ad2d-a8d4494e57c0 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 21

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source=pdf_text observed=2026-08-02T03:19:52.593043Z digest=sha256:8d02c5419d78a69d12fe6ffa14514ac1701d368240d9e03ab6f6bcdcbf90758b

Observation b308bed3-dfd1-48d6-8149-73c4e1475e4a · outbound

This paper cites Decoupled Weight Decay Regularization.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Decoupled Weight Decay Regularization

Reference 22

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source=pdf_text observed=2026-08-02T03:19:52.597442Z digest=sha256:dd92aa506606acd469d16d90e8e7613d11efbe01abcedfe732b3f243b21e986c

Observation 8520c819-5e1c-4ef5-8fc3-2dd60991cd2c · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 23

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source=pdf_text observed=2026-08-02T03:19:52.601473Z digest=sha256:9aee89563361c2f3441443996bd9a3f7f8d0f7bab8d0e464a4dc80ad454579f6

Observation 8a7441c1-a46e-466c-ae82-6f152320d481 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-02T03:19:52.605747Z digest=sha256:97d2b05f7b77e6c6a32eaeb498d77bde7623075216fc64757de0eb86fac22ee6

Observation af108eec-edf9-4cc9-8455-ca3bab3a5d18 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 25

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source=pdf_text observed=2026-08-02T03:19:52.609712Z digest=sha256:deaa3506a747557beb9a0c3362998d779d480e6b277187857305fb8bcef2f11d

Observation 98791fb2-1d6d-4baf-98b2-3f7f74f33bd2 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 26

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source=pdf_text observed=2026-08-02T03:19:52.613307Z digest=sha256:131e30fb751f501ba1872fce475d055340d9b8e94b69428b9a89ba2d400c22aa

Observation 0c119f8e-9f66-4795-b78a-afdd5ccb8e3b · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 27

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source=pdf_text observed=2026-08-02T03:19:52.617282Z digest=sha256:378658a0a0701c38f00e752a7e74a78c87a5dcb24af840f53965410cc6b5b185

Observation 70a180e1-8bb6-4aa7-bad3-13308e9b897b · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 28

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source=pdf_text observed=2026-08-02T03:19:52.621135Z digest=sha256:3cdb38e480480fdd1478659bdddfbc12d82a8b1b6dd6d327adc1b69d2a1784f8

Observation f4b74783-5164-486e-8783-8039f97217f7 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 29

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source=pdf_text observed=2026-08-02T03:19:52.624690Z digest=sha256:0ad655f21f49e45c8e420c8bd13add3b5abeacd2a28362ab892036133cf1f1cd

Observation fc2f6c67-f5ed-4e8d-ba3d-3aec3eb64fd9 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 30

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source=pdf_text observed=2026-08-02T03:19:52.628564Z digest=sha256:b33e53f7e704acc3c2a216cecfd52a37c934455f8170e526bf6723275ce5cd67

Observation 6aa38e1c-19e1-49c7-9f40-0d8cdaa6b028 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 31

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source=pdf_text observed=2026-08-02T03:19:52.632219Z digest=sha256:0a0f3c867f40d878d20c5a585f8e3eb4751a3f22f0047d7aff82b371c07355bc

Observation 0596c10f-eb35-412b-891d-0d37560642d1 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 32

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source=pdf_text observed=2026-08-02T03:19:52.635824Z digest=sha256:f0dfb59e074ce08c218ce1b955cc40105ca5fd1eb3ca0640a4f6d28b3f0daa69

Observation 5e223e1b-07be-434a-aa3c-26fd5ee46bf5 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 33

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source=pdf_text observed=2026-08-02T03:19:52.639664Z digest=sha256:2f8a6272fd6da5f919316e812ff678aea7dbf56f49252d6229d4a28eb4b554b6

Observation 676069e3-c6a7-4a99-9d53-8f5b8d13a49b · outbound

This paper cites UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild

Reference 34

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source=pdf_text observed=2026-08-02T03:19:52.648448Z digest=sha256:3757bb50b0c88313733d282b001166b9e7d9e0ac07d70424d28015909be952bc

Observation e19f1216-e780-45e4-a4e4-f4fe1255ab49 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 35

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source=pdf_text observed=2026-08-02T03:19:52.653443Z digest=sha256:0ded499d6e40cfffbf2f590e684d2550fc20150807055fb3d338cc8f5f620c28

Observation b6a5bcde-e9c1-4265-af3e-64be6a22ed4c · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 36

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.657179Z digest=sha256:a2ff6b647c194d738e92eef64cff4bd33623e75c64b6e78484609b81528ffa72

Observation a67c18f5-fa62-46d8-9366-327cef7fac6c · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 37

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source=pdf_text observed=2026-08-02T03:19:52.660836Z digest=sha256:de64a039e808aa7b0d948eb02708c059e5627cead18d2e94e420b0859071c668

Observation 9ef8e705-3b2d-4a44-9331-34e26ac40873 · outbound

This paper cites SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 38

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source=pdf_text observed=2026-08-02T03:19:52.664868Z digest=sha256:233c9601d56341a367eaf7e12166b59d6fdbeaab5b30abc25b76012dc06d14ae

Observation 5e34a0fd-6cb4-42be-9b6e-2700a158122f · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 39

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Source-reported events for the cited work

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Observation a75e1184-2166-43c4-bff6-fbf91d187932 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 40

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source=pdf_text observed=2026-08-02T03:19:52.673149Z digest=sha256:34306bfc24a13191355b9bbf5e7f3820c519027023b31b8028227c35e4687773

Observation 37ad474c-adf1-4974-8d68-3e0b5f0c6071 · outbound

This paper cites ActionCLIP: A New Paradigm for Video Action Recognition.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment ActionCLIP: A New Paradigm for Video Action Recognition

Reference 41

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no resolver link, observed 2026-08-02T03:19:52.676974Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.676974Z digest=sha256:f576d0090a2a38ed7598f152a2b5fa13fd6e62c1fba67229e77eff26424ac939

Observation 5a73f765-e36f-4031-8107-9d0e1e414529 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 42

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no resolver link, observed 2026-08-02T03:19:52.680879Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.680879Z digest=sha256:cb2400928c5b8d1474ecd7bf6fc9af4a00ae76a6ea574f6494655b538d7e3992

Observation 1cf71373-e90e-4f11-91e5-138f708127c4 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 43

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no resolver link, observed 2026-08-02T03:19:52.689755Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.689755Z digest=sha256:d3c285ff1ada480d2d68ed1fd5891416f903d840adccbc8acc35ac1d8790324c

Observation 3fa29bda-bb79-4313-9770-b1af44368374 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 44

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no resolver link, observed 2026-08-02T03:19:52.694202Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.694202Z digest=sha256:b0933e1d22b2dcd861061f8de88dd5d5bb7cec2450bbb9af791b955f726f005d

Observation d53d4893-5cc3-4cc1-a93a-3f7fdfdcbaaa · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 45

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no resolver link, observed 2026-08-02T03:19:52.697841Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.697841Z digest=sha256:7aa24ee427a28452fef385b8dc50175d38563107e28ddb40533b55b73928a9c0

Observation a36907a8-c153-46fb-b202-fc6999855303 · outbound

This paper cites Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Q-Align: Teaching LMMs for Visual Scoring via Discrete Text-Defined Levels

Reference 46

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no resolver link, observed 2026-08-02T03:19:52.701500Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.701500Z digest=sha256:91e155894ad24fbd9fa6067413548ae946e041c2c0c37438374b4f7cb93f82c2

Observation e3574ed1-dba6-40e1-b544-0cd2c7816868 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 47

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no resolver link, observed 2026-08-02T03:19:52.705674Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.705674Z digest=sha256:8bc1f366f1bce5f19895fbd23c3893f0549fb0243cd6612222702f6fd64a3d3d

Observation 886a2263-1d53-481d-8d70-d7565e49424f · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 48

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no resolver link, observed 2026-08-02T03:19:52.709488Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.709488Z digest=sha256:64ec71267ae263b2d834df7adb4a24fa49aefedf6b816ea9cece1fb75ae6e2d6

Observation 3fd8007c-a585-474d-b1ba-f0232069558e · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 49

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no resolver link, observed 2026-08-02T03:19:52.713467Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.713467Z digest=sha256:88603fb34a67b9f2209576bccfc8752b78e643f4aa6e8175f4b6a36135146e5b

Observation d129b75c-e08d-47fe-8720-d28053b8e9a0 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 50

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no resolver link, observed 2026-08-02T03:19:52.721772Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.721772Z digest=sha256:68c180f4058be22980e0363c8a3e7bc4664f71625fa22301c68126a9f773bfb4

Observation 0e12f409-f6a0-4a1f-a88a-00b9a42aa196 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 51

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no resolver link, observed 2026-08-02T03:19:52.725714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.725714Z digest=sha256:7ee7c69be4b991311fb80b79dca93e7bc4e95e19a510aaf99867f98757252d8a

Observation 33c26c8d-d066-4a0b-906d-c5dd8610c306 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 52

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no resolver link, observed 2026-08-02T03:19:52.717524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.717524Z digest=sha256:c896f890ecd259aad4620934e4833c480ed785224628a8f8ad734d0a940aeef4

Observation 5b16cf26-4f3f-4955-95f5-56c446f71796 · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 53

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malformed identifier
no resolver link, observed 2026-08-02T03:19:52.733177Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.733177Z digest=sha256:af78caa445d651e0614c08532dcf243b1637e67ecb6cacc5f73eda286df8ee56

Observation 3a62a0c2-5131-47ae-8fc6-29b29da76e8f · outbound

This paper cites an unresolved cited work.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment Unresolved cited work

Reference 55

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no resolver link, observed 2026-08-02T03:19:52.729596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.729596Z digest=sha256:a80d78ee088ef0da183e369585d9bf552dda4aedb8690381ec2e7112d53e62b6

Observation dde111e2-e00d-409d-a99d-5c29b66af991 · outbound

This paper cites In International conference on machine learning.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment In International conference on machine learning

Reference 2021

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no resolver link, observed 2026-08-02T03:19:52.644467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T03:19:52.644467Z digest=sha256:587c27e14bfde8940ab19d47bb6ac6b37da3a7d5233b72d0a3030642a3c50703

Observation 9a87642a-b880-4d9a-beae-808e2c3799e0 · outbound

This paper cites InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Peak-End-Net: A Peak-End Rule Inspired Framework for Generalizable Video Aesthetic Assessment InProceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 2024

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no resolver link, observed 2026-08-02T03:19:52.685337Z

Source-reported events for the cited work

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source=pdf_text observed=2026-08-02T03:19:52.685337Z digest=sha256:7b3ad739aa7ea0030d5cc48baa369fa56a65873f6aa96ddaecd2366f1f34ce96

Pith citing papers

No inbound Pith citation observations are available.