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Paper Citation Record · LEDGER

An Effective End-to-End Solution for Multimodal Action Recognition

As of 7 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.09345.

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

pith.paper-citation-record.v1
2506.09345 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T04:54:27.043439Z

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 fuzzy20
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch4

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4fe14c29-b171-48f0-b0d1-16568d4ac50f · outbound

This paper cites In: APSIPA ASC.

An Effective End-to-End Solution for Multimodal Action Recognition In: APSIPA ASC

Reference 1

Resolution
verified fuzzy
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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 1a61c004-ac5c-4fad-9a1f-a26918833a93 · outbound

This paper cites In: ICCV.

An Effective End-to-End Solution for Multimodal Action Recognition In: ICCV

Reference 2

Resolution
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no resolver link, observed 2026-08-07T04:54:24.039714Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation b57db0ac-b687-4ca3-9c2d-96a8a09f55b9 · outbound

This paper cites Multimedia Tools and Applications78(5), 5919–5939 (2019).

An Effective End-to-End Solution for Multimodal Action Recognition Multimedia Tools and Applications78(5), 5919–5939 (2019)

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:31.604939Z

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=2026-08-07T04:54:24.199195Z digest=sha256:d8f162d92d20a87e4fc4f1970fbafebdb1b913de70280a8b31781fb4e09cfef6

Observation 82c3c276-8576-4b13-86d0-a6c9e3da55f9 · outbound

This paper cites an unresolved cited work.

An Effective End-to-End Solution for Multimodal Action Recognition Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:24.346148Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:24.346148Z digest=sha256:ef551edc0dfae7751e185f4bc94c86bec72737b03d303cbb972a1848dae0fbfa

Observation 69d3dc0b-2477-4ec4-a651-45c794dc8903 · outbound

This paper cites In: CVPR.

An Effective End-to-End Solution for Multimodal Action Recognition In: CVPR

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:31.446583Z

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=2026-08-07T04:54:24.446296Z digest=sha256:16f07a751abc799d14d4a90816447ef114539fce9db114a06ee751c97f23c752

Observation bde8ed8f-195c-4150-9ee7-79acd655a524 · outbound

This paper cites Multimedia Tools and Applications76, 4405–4425 (2017).

An Effective End-to-End Solution for Multimodal Action Recognition Multimedia Tools and Applications76, 4405–4425 (2017)

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:31.244149Z

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=2026-08-07T04:54:24.496081Z digest=sha256:18f29aa6f3b46b56e7b19865ad299002df04b4e1335907db6b3698335a0b4351

Observation 0dbe5243-bedb-40a5-8994-34d51d8cd441 · outbound

This paper cites IEEE Access10, 104190–104201 (2022).

An Effective End-to-End Solution for Multimodal Action Recognition IEEE Access10, 104190–104201 (2022)

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:31.055072Z

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=2026-08-07T04:54:24.595282Z digest=sha256:4aee30cbd03b70bdbfe611a056da60c50c6e15988dba1dd179ef1c4e75053373

Observation eaaf3268-cda9-4c74-a14c-2595284b78aa · outbound

This paper cites In: CVPR (2009).

An Effective End-to-End Solution for Multimodal Action Recognition In: CVPR (2009)

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:24.666331Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:24.666331Z digest=sha256:b9acfc9b03eb3372017e00633de326487617ef550b20bf3fd425f11787a0894c

Observation 22b4ce7f-335a-42a0-901f-4c3779c7c23c · outbound

This paper cites In: ICCV.

An Effective End-to-End Solution for Multimodal Action Recognition In: ICCV

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:24.733977Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:24.733977Z digest=sha256:2be6517b54e940f37dae772a4f1d973ee9b77de602dc3f90c6b2997619d30c8f

Observation 3082a3fa-579c-4d56-837c-f45f40d6e0ea · outbound

This paper cites something something.

An Effective End-to-End Solution for Multimodal Action Recognition something something

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:24.816336Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:24.816336Z digest=sha256:77c59a117b757c1f2a41469dc46fbb1c6a3714a9de52f650e78848042ba3962e

Observation c637523f-2e7f-424a-9e90-e18e4d9ae004 · outbound

This paper cites In: CVPR.

An Effective End-to-End Solution for Multimodal Action Recognition In: CVPR

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:24.908790Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:24.908790Z digest=sha256:d9d0f16fd1a800deb89e7e95f1d02e15e7fdc0eae4015f5802c8024bcd60ecc4

Observation 9e37068c-72a1-4e57-b4bf-d3515bdd28ed · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

An Effective End-to-End Solution for Multimodal Action Recognition MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:24.982062Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:24.982062Z digest=sha256:6bbdd13e43b136cceb041c3f643e5e42e7ba0545622c134100c16a710fe54bc9

Observation 873f5fc0-4b4b-487a-a8a5-d93ba12470bc · outbound

This paper cites Averaging Weights Leads to Wider Optima and Better Generalization.

An Effective End-to-End Solution for Multimodal Action Recognition Averaging Weights Leads to Wider Optima and Better Generalization

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:25.055016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:25.055016Z digest=sha256:b6ccfa11184c28346a1ef1dadb76c49904420b36da02bd9dd71177dd3d396615

Observation badcc80c-c2a7-43b1-a17b-11ec095f566f · outbound

This paper cites an unresolved cited work.

An Effective End-to-End Solution for Multimodal Action Recognition Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-07T04:54:30.811448Z

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=2026-08-07T04:54:25.106019Z digest=sha256:fa7b86acbc3e07b345be1d94b3a1c7b307f4470d593b666aca56a375c520a46e

Observation 13db4fce-59e6-42a7-8ac1-851c85ea78b3 · outbound

This paper cites The Kinetics Human Action Video Dataset.

An Effective End-to-End Solution for Multimodal Action Recognition The Kinetics Human Action Video Dataset

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:25.206721Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:25.206721Z digest=sha256:0bddce48379c174df0f0a06172a5b3b654d5840671a8195f86ce0bf3737b65fe

Observation e207bfd6-5db2-4ab9-9b16-b870150c2458 · outbound

This paper cites In: ICCV.

An Effective End-to-End Solution for Multimodal Action Recognition In: ICCV

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:30.641980Z

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=2026-08-07T04:54:25.311624Z digest=sha256:2a6cb033c1ab403fe7b01b6f845225ac754e3adb2a792fb2ffdae558293e8a42

Observation 4681c983-a592-4baa-9117-33c64a77256b · outbound

This paper cites In: MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, pp.

An Effective End-to-End Solution for Multimodal Action Recognition In: MICCAI Challenge on Fast and Low-Resource Semi-supervised Abdominal Organ Segmentation, pp

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:30.447986Z

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=2026-08-07T04:54:25.399559Z digest=sha256:78d061c9ce1afba924c27acaa523994cf5adb22e2c3a1f3cfc239c1bd8c47aa3

Observation 93bfa269-5f4f-47c9-8d27-247edc150b2e · outbound

This paper cites IJCV118, 217–239 (2016).

An Effective End-to-End Solution for Multimodal Action Recognition IJCV118, 217–239 (2016)

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:30.264906Z

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=2026-08-07T04:54:25.468009Z digest=sha256:394a2f21c660fbeeed2d792c5a16ebaa50264bf44be1e08ec5cb97507d1a3ca6

Observation ad7b5a69-5544-4163-9911-0a19bbfb3936 · outbound

This paper cites NIPS27(2014).

An Effective End-to-End Solution for Multimodal Action Recognition NIPS27(2014)

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:30.069230Z

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=2026-08-07T04:54:25.561044Z digest=sha256:d40d9fa4078d6e93e8197004e97e684aafe0cbdfb4581ae69cdaab160278f464

Observation da6ba0d6-bb6e-4172-ac97-ae0546d47fb4 · outbound

This paper cites In: ICME.

An Effective End-to-End Solution for Multimodal Action Recognition In: ICME

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:29.893835Z

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=2026-08-07T04:54:25.662260Z digest=sha256:d4af47f61cd4d3161933621e16dcbc061559a8606849d18493c0468c036d4909

Observation 69632de9-57e4-4ade-bcaa-17465aeac7e7 · outbound

This paper cites TPAMI45(3), 3200–3225 (2022).

An Effective End-to-End Solution for Multimodal Action Recognition TPAMI45(3), 3200–3225 (2022)

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:29.732371Z

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=2026-08-07T04:54:25.743831Z digest=sha256:db1f3748c6fb945cbf361dcbfbe93e659e1df6bd9af909fd83d1aeaf908d2315

Observation 0cdcc82b-a5da-4da4-a988-9519da0dd83a · outbound

This paper cites In: CVPR.

An Effective End-to-End Solution for Multimodal Action Recognition In: CVPR

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:29.537036Z

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=2026-08-07T04:54:25.847532Z digest=sha256:05bdc1d07948d607f9a34387325a8fbc1acc062efafdb053b9fb42eba4866cc1

Observation 13a193a2-97c5-4f59-b854-620a38035930 · outbound

This paper cites In: ICMEW.

An Effective End-to-End Solution for Multimodal Action Recognition In: ICMEW

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:29.350965Z

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=2026-08-07T04:54:25.914545Z digest=sha256:228d53e49b132278bebbf7be2dcd192465c2b52c25929dcfad9fcf3bcb551f32

Observation 9e37f9f4-5f0d-43f0-b97e-9edcd578d29f · outbound

This paper cites IEEE Access11, 53880–53898 (2023) An Effective End-to-End Solution for Multimodal Action Recognition 15.

An Effective End-to-End Solution for Multimodal Action Recognition IEEE Access11, 53880–53898 (2023) An Effective End-to-End Solution for Multimodal Action Recognition 15

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:29.193124Z

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=2026-08-07T04:54:25.980290Z digest=sha256:aa00228aef633c46f0891fc34ee99f0cb76b67569f00843b2250b8cf0696b297

Observation 19f1807b-06ea-494d-b2fd-6664e96a985a · outbound

This paper cites In: ECCV.

An Effective End-to-End Solution for Multimodal Action Recognition In: ECCV

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:29.001583Z

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=2026-08-07T04:54:26.059553Z digest=sha256:9b40e6b80cc04e8c525c745fe5b2f8800e114e746a0e4b32043a02d364a30d87

Observation 819dd40b-0048-4e1b-bdfd-d3215bb5c135 · outbound

This paper cites Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos.

An Effective End-to-End Solution for Multimodal Action Recognition Fast Adversarial Training with Weak-to-Strong Spatial-Temporal Consistency in the Frequency Domain on Videos

Reference 26

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:54:27.915070Z

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=2026-08-07T04:54:26.160531Z digest=sha256:b5fa34f432337a91b062f000b328d5cf05650ba3f4e3d9e8941ace644f3739ec

Observation 9a512df5-362e-4ab6-ab00-7ebcc5c493be · outbound

This paper cites In: 2024 IEEE International Conference on Multimedia and Expo (ICME).

An Effective End-to-End Solution for Multimodal Action Recognition In: 2024 IEEE International Conference on Multimedia and Expo (ICME)

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:28.847086Z

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=2026-08-07T04:54:26.223903Z digest=sha256:2b3c2c45cf80a5898f2ff10d2c5e3262b39dd066eb293534c22285ab2f268958

Observation 5595516f-0638-4721-8c25-350ac0ba2189 · outbound

This paper cites Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis.

An Effective End-to-End Solution for Multimodal Action Recognition Anti-Aesthetics: Protecting Facial Privacy against Customized Text-to-Image Synthesis

Reference 28

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:54:27.664544Z

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=2026-08-07T04:54:26.336250Z digest=sha256:d0d372b246a2c04c889504fa4ccf899b6fb165acc02dff6fb8707337fce5ad56

Observation 635748f3-d044-4b65-802a-1eb7ee39af49 · outbound

This paper cites In: International Conference on Pattern Recogni- tion.

An Effective End-to-End Solution for Multimodal Action Recognition In: International Conference on Pattern Recogni- tion

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:28.646648Z

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=2026-08-07T04:54:26.434695Z digest=sha256:408657d863cecdde7f86cd4f287fe6e4d648fba8aeeb86e5d5caf5a529e97721

Observation 3a460653-485c-4ccd-a95c-dbe3313037ee · outbound

This paper cites Exploring Adversarial Transferability between Kolmogorov-arnold Networks.

An Effective End-to-End Solution for Multimodal Action Recognition Exploring Adversarial Transferability between Kolmogorov-arnold Networks

Reference 30

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:54:27.490087Z

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=2026-08-07T04:54:26.537712Z digest=sha256:48ba4fdd1355fc7b7c5dcc0c0798a5a60e0edc5ed585dd34e16ace630e18daa5

Observation 3f373856-cdb2-4ecc-94e6-88005e1a88be · outbound

This paper cites In: CVPR.

An Effective End-to-End Solution for Multimodal Action Recognition In: CVPR

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:26.630591Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:26.630591Z digest=sha256:e6f38b3d239cf013731ee4b215dbd541fa5ad4f6d251b36b500a6d9527321d83

Observation 5fc7628d-713a-48a3-8ddf-4f69b39ee8cb · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10898–10912 (2023).

An Effective End-to-End Solution for Multimodal Action Recognition IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10898–10912 (2023)

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:28.484481Z

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=2026-08-07T04:54:26.744900Z digest=sha256:aaf63d5fe627009b25f141b2a63daa6c84761ae5bd66de6786ff472aa8a3ff49

Observation 0a9f75b2-1cad-40ce-9211-228bb2790f83 · outbound

This paper cites In: ECCV.

An Effective End-to-End Solution for Multimodal Action Recognition In: ECCV

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:28.318373Z

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=2026-08-07T04:54:26.808139Z digest=sha256:4a290f33f949ceb1d2a574c74802ddfcb2eb133129c7c5a12b81c0dd19356830

Observation c7f35bfb-411d-4dbf-aaad-59f1b9dbc9db · outbound

This paper cites Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos.

An Effective End-to-End Solution for Multimodal Action Recognition Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos

Reference 34

Resolution
metadata mismatch
local_arxiv, observed 2026-08-07T04:54:27.303619Z

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=2026-08-07T04:54:26.879331Z digest=sha256:9c08c9878abc91a98b773b004e1846e481684349b8501e246831cd964e2c953b

Observation b3764f9d-060d-49ab-96b2-57ffe4888b84 · outbound

This paper cites A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark.

An Effective End-to-End Solution for Multimodal Action Recognition A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T04:54:26.953389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:54:26.953389Z digest=sha256:aa61c3688be8ce9d757e244c5abea165b50833d3687f12a957adeb8a0b733584

Observation 21e3699c-b928-43e3-843b-2ef8ebe4225f · outbound

This paper cites TOMM 18(3), 1–24 (2022).

An Effective End-to-End Solution for Multimodal Action Recognition TOMM 18(3), 1–24 (2022)

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T04:54:28.140159Z

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=2026-08-07T04:54:27.043439Z digest=sha256:511296ec3f78e77407d5503b1c73bac80cf2ae3dca3b85dba3c4780c140f8737

Pith citing papers

No inbound Pith citation observations are available.