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Paper Citation Record · LEDGER

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model

As of 16 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2505.24476.

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

pith.paper-citation-record.v1
2505.24476 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:26:41.196274Z

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-11T01:03:50.055081Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

49 of 49 outbound references displayed

  • verified exact0
  • verified fuzzy27
  • unresolved22
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 12862d8f-9f4e-4c32-92fd-43b7cf5759c4 · outbound

This paper cites Weather forecasting model using artificial neural network.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Weather forecasting model using artificial neural network

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:46.929750Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:36.010677Z digest=sha256:9d36b15d999420cb71883942d883a08f98376c286122f57b71f4cda2e2ca827f

Observation 4cbfb777-64ab-45ab-b540-8b4f9d86360a · outbound

This paper cites GPT-4 Technical Report.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model GPT-4 Technical Report

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:36.101348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:36.101348Z digest=sha256:fdf2c469ac629934ed94e4b3f26adf72d0b18703e2da2ceff4af08adf97cbb04

Observation 84fd21bd-c152-4183-a36b-a88f313169be · outbound

This paper cites Flamingo: a visual language model for few-shot learning.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Flamingo: a visual language model for few-shot learning

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:36.221344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:36.221344Z digest=sha256:053599c0dec2aff8f93a0bb801b20028f1a24318907ce857b9cb85e65eaafe7f

Observation 918baa52-62bb-4659-8d61-b7066d325f3c · outbound

This paper cites Spatio-temporal atten- tion and magnification for classification of parkinson’s dis- ease from videos collected via the internet.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Spatio-temporal atten- tion and magnification for classification of parkinson’s dis- ease from videos collected via the internet

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:46.736972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:36.337610Z digest=sha256:b13c8f1c11e0e8da122740e5eeb5548cc9fb5bd42085d63f0d799983b4b1bfb5

Observation 0cf3ff27-b411-47ad-8d17-19802bf01de8 · outbound

This paper cites Frozen in time: A joint video and image encoder for end-to-end retrieval.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Frozen in time: A joint video and image encoder for end-to-end retrieval

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:46.513806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:36.470629Z digest=sha256:6f06a88cd4523b662dbe570071cc587fd53b397962743ff7218cee14f7aa1d7c

Observation 7af58b41-74a9-4793-b4e9-fd7764968626 · outbound

This paper cites Unsupervised skin tissue seg- mentation for remote photoplethysmography.Pattern Recog- nition Letters, 124:82–90, 2019.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Unsupervised skin tissue seg- mentation for remote photoplethysmography.Pattern Recog- nition Letters, 124:82–90, 2019

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:46.293218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:36.570048Z digest=sha256:b3963a83924579a25eaa0332ababda3f90ff01d1d0610b3727087302ca3ab7f0

Observation 65b978b2-1115-4f59-b512-fb8b03deab5c · outbound

This paper cites Counting out time: Class agnostic video repetition counting in the wild.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Counting out time: Class agnostic video repetition counting in the wild

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:46.132755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:36.677217Z digest=sha256:15c81d999b8ba25fa28ba854f53616e6dfa4406b8ccd4a30218eea4af570c957

Observation 92ce95c6-1628-4040-9af4-001e871340e4 · outbound

This paper cites Imagebind: One embedding space to bind them all.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Imagebind: One embedding space to bind them all

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:36.789723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:36.789723Z digest=sha256:5edf161f2e94a3e7aee4a62318786837d02edf0d235841c57f79659e3ec7422a

Observation 9c432380-8d0f-4fe8-b7d2-01f4807c0391 · outbound

This paper cites Onellm: One framework to align all modalities with language.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Onellm: One framework to align all modalities with language

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:45.990192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:36.907214Z digest=sha256:8b80bcc5ab91262d61ec1b0fb5bf0a9b96175629e5aa1dd82fe20a5ff3e86044

Observation a7525ece-647e-4494-885e-93ce06bc3a3b · outbound

This paper cites Transrac: Encoding multi- scale temporal correlation with transformers for repetitive action counting.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Transrac: Encoding multi- scale temporal correlation with transformers for repetitive action counting

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:45.805041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:37.004560Z digest=sha256:aeec19c9afa1bf1a73bdfff1fdb11b6a8ae4656991c0a36e56a2655be91cce4e

Observation d5548a28-b176-487e-b119-c518b59ed7ac · outbound

This paper cites Gradient-based learning applied to document recog- nition.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Gradient-based learning applied to document recog- nition

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:45.644751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:37.104866Z digest=sha256:47af7586150f5212626da02267420e7af423b52e636605e22a92b6ec3f1e841f

Observation e750023a-14f3-4c24-babe-6f4ce3e6fa32 · outbound

This paper cites BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:37.242460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:37.242460Z digest=sha256:334b123ad514c219bd712828489300b003f1e7b3e3dfda1be24d1c18e3d17704

Observation f13594f2-885c-4c3f-9901-677686589a63 · outbound

This paper cites VideoChat: Chat-Centric Video Understanding.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model VideoChat: Chat-Centric Video Understanding

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:37.478169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:37.478169Z digest=sha256:733b6c988d20649329ba6265e5873aafde21adb3d3c21a0b5b80b817576ef269

Observation 674c586f-df16-40d6-af94-b8bbbb4d0606 · outbound

This paper cites Mvbench: A comprehensive multi-modal video understand- ing benchmark.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Mvbench: A comprehensive multi-modal video understand- ing benchmark

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:45.462551Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:37.549498Z digest=sha256:6a68a79a4e1cbe7b4ea9a4952638c349374d721126dee825deffdc75b555f97c

Observation dda92986-97d9-43fb-b6ad-ba90a10bd94c · outbound

This paper cites LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:37.635595Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:37.635595Z digest=sha256:9a1641c9b549e699d9d178dfc5a9cd9bddcd067149af90fbd2d5c18c12c4a5d7

Observation 80037537-0ada-4b6f-8738-8d5a85a0b438 · outbound

This paper cites Visual instruction tuning.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Visual instruction tuning

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:37.764451Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:37.764451Z digest=sha256:d7752c2ef36e4c82695932191b685ab85173d89f59ddc7c324720d96ab0b6ce1

Observation 3ac7c2ef-6883-4c64-aacb-a4227e71242e · outbound

This paper cites Visual instruction tuning.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Visual instruction tuning

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:45.291001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:37.846690Z digest=sha256:800a3f529ce2d7f30487d72a2fe96d048ff748f9e3fa54865f6059d0aebbe5cc

Observation 610e1dfd-bbd6-458f-b3f3-251567ad856b · outbound

This paper cites BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model BT-Adapter: Video Conversation is Feasible Without Video Instruction Tuning

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:37.966867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:37.966867Z digest=sha256:01e0327e125858526fe7b74520bedeb5797dd273a2c18cc4dc2fce90dc8ba069

Observation 611f6091-2bed-4af1-8103-69615c1bbfa6 · outbound

This paper cites Multi-task temporal shift attention networks for on-device contactless vitals measurement.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Multi-task temporal shift attention networks for on-device contactless vitals measurement

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:45.107786Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:38.043769Z digest=sha256:011354ec3e6ad96124c420734427b2c6e1ad4eaf2c1f65fdb4c3b99f4ef0c766

Observation 13e71bfd-534c-4fad-8ec7-149c1ffbcd95 · outbound

This paper cites Metaphys: few-shot adaptation for non-contact physiological measurement.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Metaphys: few-shot adaptation for non-contact physiological measurement

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:44.902610Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:38.129494Z digest=sha256:df37c0c05c004b8fdf8999d13cfa34b5772757e58116de48cae716a15aab13c6

Observation ffd5db9c-9368-4d78-a5c8-5f9088ea1c7c · outbound

This paper cites rppg-mae: Self-supervised pretraining with masked autoencoders for remote physiological mea- surements.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model rppg-mae: Self-supervised pretraining with masked autoencoders for remote physiological mea- surements

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:44.766834Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:38.222233Z digest=sha256:280676d9343b08a4a44c740a7480b23ba8ca24bf36efe58e9bea1812ad65a07b

Observation 8a9a7369-54f5-4690-be37-7787afa129cb · outbound

This paper cites Monitoring gait at home with radio waves in parkin- son’s disease: A marker of severity, progression, and med- ication response.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Monitoring gait at home with radio waves in parkin- son’s disease: A marker of severity, progression, and med- ication response

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:44.590971Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:38.341685Z digest=sha256:729dc59a75cfa50661bafa37aef62a02f64b7f8c6ab7c703550560e39f925122

Observation 973b1dcb-5803-48b2-8af3-dc06e38d4cbd · outbound

This paper cites Class-agnostic counting.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Class-agnostic counting

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:38.412852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:38.412852Z digest=sha256:cf42a853eb2470c1a43dfc909473f1bbf51bd54c13a3349ca7629edf3d1a2f4a

Observation bfaac4a5-84b8-4ac2-8be8-56041cfd1e0c · outbound

This paper cites Dual-gan: Joint bvp and noise modeling for remote physiological measurement.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Dual-gan: Joint bvp and noise modeling for remote physiological measurement

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:44.381673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:38.525998Z digest=sha256:1403bf6b5830390dc3af067c5bd027ab9f4c89cd33b3951edae46cf07c3b7b62

Observation 686f69cf-32f0-4314-866d-865c346f2ca7 · outbound

This paper cites Gpt as psychologist? preliminary evaluations for gpt-4v on visual affective computing.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Gpt as psychologist? preliminary evaluations for gpt-4v on visual affective computing

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:44.249877Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:38.603859Z digest=sha256:aaa57c222dd2d6c7cb6bcccc103f81f536b76069736c70d183f18e58f64fd46a

Observation 1646c9f3-a123-4005-9125-201509576e94 · outbound

This paper cites Valley: Video Assistant with Large Language model Enhanced abilitY.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Valley: Video Assistant with Large Language model Enhanced abilitY

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:38.671225Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:38.671225Z digest=sha256:f7467c888e191e682d0d37ad5ea1044e6db3493f9db799aba9459c2de9a13940

Observation e527dfdf-c073-4f43-9b68-c8f8baf1c070 · outbound

This paper cites Video Anomaly Detection and Explanation via Large Language Models.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Video Anomaly Detection and Explanation via Large Language Models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:38.782882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:38.782882Z digest=sha256:c5544724cddc748c9f3db09f94b00f20b476133a6fc219117ca32331ac2bac87

Observation 1c97df41-17c7-4c0d-bfc3-2501ff45c4df · outbound

This paper cites Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:38.978338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:38.978338Z digest=sha256:dfe671b08f038597a72b211775aa4f46aa309b3275fe9546cd3df5aa1952bee4

Observation 7a28d83c-ab3a-4a6a-b106-4c92d7ee47d3 · outbound

This paper cites Rhythmnet: End-to-end heart rate estimation from face via spatial-temporal representation.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Rhythmnet: End-to-end heart rate estimation from face via spatial-temporal representation

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:44.140620Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:39.077341Z digest=sha256:77a8d917f244d695b3be379f28e4e7f09f477d83180e32b3311a97d1a2e7cb32

Observation 56d561e9-bf6e-471b-9b9d-e63f34a36c10 · outbound

This paper cites Teaching clip to count to ten.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Teaching clip to count to ten

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:43.978295Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:39.192292Z digest=sha256:7e8f709d2ec81725f84c019615a6cb01de4bcd6ffb815333a26ebd515cc5a615

Observation 212d9f27-fb78-4801-9099-99350d1347a9 · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Learning transferable visual models from natural language supervi- sion

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:39.311237Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:39.311237Z digest=sha256:cfb4eaa29db55c878b5c203aaba2142b4b6cc94ab7c582e11bca33019d208bd0

Observation ff64faad-7d96-4386-8e25-b5de3e244a3f · outbound

This paper cites The first vision for vitals (v4v) chal- lenge for non-contact video-based physiological estimation.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model The first vision for vitals (v4v) chal- lenge for non-contact video-based physiological estimation

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:43.677266Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:39.408603Z digest=sha256:425a6007e222539819cfa36d52df3b7fd572f108eec2a89a50cec0824f7dc7ee

Observation 3fc0cd5e-e2f7-4d2e-935d-971e0f6ccc78 · outbound

This paper cites Deepdownscale: A deep learning strategy for high-resolution weather forecast.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Deepdownscale: A deep learning strategy for high-resolution weather forecast

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:43.321479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:39.461032Z digest=sha256:44bac5acc685039eafbb61f660cdd2e95d9eed7a2ed728a33077c9a7891e58a6

Observation 1cd922ac-b9e6-4c6e-9705-6f2784960977 · outbound

This paper cites A dataset of clinically recorded radar vital signs with synchro- nised reference sensor signals.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model A dataset of clinically recorded radar vital signs with synchro- nised reference sensor signals

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:43.042615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation be9a5392-2821-468b-a844-3dbc5215ec76 · outbound

This paper cites Predicting weather forecast uncertainty with machine learning.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Predicting weather forecast uncertainty with machine learning

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:42.717639Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:39.654720Z digest=sha256:d12d5aad5e2a1b810b0270a937913c7ffe48c0855a83f7ba4a4796ffcd378064

Observation de78f4ba-eddb-4fcf-80e9-6584c9e61adc · outbound

This paper cites MetNet: A Neural Weather Model for Precipitation Forecasting.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model MetNet: A Neural Weather Model for Precipitation Forecasting

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:39.746071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:39.746071Z digest=sha256:32c9b91bcc50bee7dd515ec6f834129db0a091e8330aa7fa607930ee3bec4167

Observation 55fedec0-0456-487b-a216-073ef7c86cc2 · outbound

This paper cites Deepphase: Periodic autoencoders for learning motion phase manifolds.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Deepphase: Periodic autoencoders for learning motion phase manifolds

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:42.480672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 943d25ea-8216-4171-8e5d-03a71c385f81 · outbound

This paper cites Non-contact video-based pulse rate measurement on a mo- bile service robot.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Non-contact video-based pulse rate measurement on a mo- bile service robot

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:42.277148Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

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Observation 54f45eaa-2e8a-4f42-8af7-ef0d2dfefbfe · outbound

This paper cites PandaGPT: One Model To Instruction-Follow Them All.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model PandaGPT: One Model To Instruction-Follow Them All

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:39.988205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:39.988205Z digest=sha256:3aabe038df3c503accf98bbeae95fefb5d998d068f8883245acf88b69991bf19

Observation a34077e2-f590-4255-bb38-febc13b2ca2a · outbound

This paper cites LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:40.045208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:40.045208Z digest=sha256:3e7c478cd35462ee8c7c4bbf6f905400df62ae56c20069cb988a398fb81b7fbe

Observation a97c8d8d-f09c-42ac-9aa4-0f804dc839c5 · outbound

This paper cites Image enhancement for remote photoplethys- mography in a low-light environment.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Image enhancement for remote photoplethys- mography in a low-light environment

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:42.077342Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:40.123811Z digest=sha256:0e302ff64fba169ed1daca6e57688ebad957225bb01af3ede56ec07f669cae13

Observation b49b6d0a-5076-4220-8a9a-92379d5716ae · outbound

This paper cites Zero-shot video question answering via frozen bidirectional language models.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Zero-shot video question answering via frozen bidirectional language models

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:41.917560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:40.244774Z digest=sha256:430eec5fad59b0b20ec50396ebc408e2b73525153a37407cfcd4c158ba27252a

Observation 9dfed180-a7c8-4d9e-8d5a-ae491389c35f · outbound

This paper cites SimPer: Simple Self-Supervised Learning of Periodic Targets.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model SimPer: Simple Self-Supervised Learning of Periodic Targets

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:40.364463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:40.364463Z digest=sha256:ba4d4b6d93c248ebf67ccf8b4fa43002fb914bc7df1e9d2b48dda64e53ac032e

Observation 926f2099-1b84-45fe-81f4-999e10680b7e · outbound

This paper cites mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:40.521243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:40.521243Z digest=sha256:39e1d4be5811f49c0af9359ab0b4845c9520a04f4913754cf28665f81493c98e

Observation a8af1f0b-efbc-41c0-a9b0-f633f5d3f4fc · outbound

This paper cites Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:40.811239Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:40.811239Z digest=sha256:ef4f555229c180779a5015b56d95c17d4355111ddbef1311e786f315e3d4b032

Observation 7d41438c-a5aa-4015-a8b5-ecf9904cb1cd · outbound

This paper cites LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:40.943300Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:40.943300Z digest=sha256:f987872cb098ddb8e14c65814557911fefde230b320a5d1bbbd543cbe1bbfabe

Observation 745b5ac2-42af-4aff-9f0e-5e26c81d25ca · outbound

This paper cites Repeti- tive activity counting by sight and sound.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Repeti- tive activity counting by sight and sound

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T12:26:41.716110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-07T12:26:41.005852Z digest=sha256:86b179cc15edb3a7a958bf8cba22e552f0b9c6a893963b22c2f3e4f7d2c8afe1

Observation 3b095a31-4f74-450e-9576-98194036a62b · outbound

This paper cites Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model Advancing Generalizable Remote Physiological Measurement through the Integration of Explicit and Implicit Prior Knowledge

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:41.121678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:41.121678Z digest=sha256:37e089c2ac04242e2643d9b09ffe017b13cd80f1505fee0fefb8144456b16b50

Observation fc4a7eaf-4129-4307-a822-d4f38716a8a7 · outbound

This paper cites MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models.

Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-07T12:26:41.196274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:26:41.196274Z digest=sha256:5d5ed792c6fd738d5ec5018771101e977b28f382e8bc4a9b62af8a2fbdc35239

Pith citing papers

Observation ee3f780b-6a0a-46b4-850c-d81656d4dd2a · inbound

OralMLLM-Bench: Evaluating Cognitive Capabilities of Multimodal Large Language Models in Dental Practice cites this paper.

OralMLLM-Bench: Evaluating Cognitive Capabilities of Multimodal Large Language Models in Dental Practice Period-LLM: Extending the Periodic Capability of Multimodal Large Language Model

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-11T01:05:50.217742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-05-11T01:03:50.055081Z digest=sha256:37bae9fe086eceff238e9674693e015fdd28d3794c5feda815e2afeb4b9f1c5d