Pith. sign in

Paper Citation Record · LEDGER

LAST SToP For Modeling Asynchronous Time Series

As of 10 August 2026, this Paper Citation Record lists 77 of 77 outbound references and 2 inbound Pith citation observations for arXiv:2502.01922.

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

pith.paper-citation-record.v1
2502.01922 v1

Coverage vector

measured 77 of 77 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T14:02:48.597504Z

measured 79 of 79 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:33:47.533403Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-14T20:19:27.700434Z

Reference resolution

77 of 77 outbound references displayed

  • verified exact1
  • verified fuzzy48
  • unresolved28
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation e01edc5f-35d2-4479-9dee-c92f0effe056 · outbound

This paper cites write newline.

LAST SToP For Modeling Asynchronous Time Series write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.311421Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.311421Z digest=sha256:048d4deba2551d360aba0c6793dd65fb826960abe8f7abb1371a1ded7fcb2be0

Observation e6c81e99-571b-4367-b476-74de68ce0ad5 · outbound

This paper cites F., Stella, L., Turkmen, C., Zhang, X., Mercado, P., Shen, H., Shchur, O., Rangapuram, S.

LAST SToP For Modeling Asynchronous Time Series F., Stella, L., Turkmen, C., Zhang, X., Mercado, P., Shen, H., Shchur, O., Rangapuram, S

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.423876Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.316576Z digest=sha256:464c538975ce87c3bf7555b7a6b3eaa02e621e1323c4e25b853eae8c876d15e0

Observation 0c6ae2d5-eedc-4170-a60f-e351195d995a · outbound

This paper cites Hawkes processes in finance.

LAST SToP For Modeling Asynchronous Time Series Hawkes processes in finance

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.413869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.320878Z digest=sha256:d764a4c2992491d896c739aaa44bc418ffd5d8eb135512eb68584834a14e5b2e

Observation 343c8dcd-0f0c-4835-9c9b-c7b4445a7acf · outbound

This paper cites BEiT: BERT pre-training of image transformers.

LAST SToP For Modeling Asynchronous Time Series BEiT: BERT pre-training of image transformers

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.404068Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.325381Z digest=sha256:e902d7634a3bef52b7af5b651c0c69c9ec9b227e3c2bef067411f18f4978c9d9

Observation c1113b67-517c-41f2-8949-424f74600b74 · outbound

This paper cites BLOOM: A 176B-Parameter Open-Access Multilingual Language Model.

LAST SToP For Modeling Asynchronous Time Series BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.329244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.329244Z digest=sha256:6c09abff009de36666a0ac3fd74841748a5363710e7148cd647e0c26e8e90297

Observation 89e6da46-27a5-4090-ada0-9a5749d40b02 · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

LAST SToP For Modeling Asynchronous Time Series On the Opportunities and Risks of Foundation Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.333734Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.333734Z digest=sha256:f0db826557bbbc1a5f9bdcf5577852e024bb9ec8b93492585c0d238ac7afc09d

Observation df547379-6f89-4905-a957-0f71856631cc · outbound

This paper cites an unresolved cited work.

LAST SToP For Modeling Asynchronous Time Series Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:02:49.393641Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.338571Z digest=sha256:901a5ff2ffa06b05df351332fd4afafff565ee62a82f7be7caf91a8f1386acbc

Observation 71149463-66eb-4dbc-ba12-759e4e49ff40 · outbound

This paper cites TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting.

LAST SToP For Modeling Asynchronous Time Series TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series Forecasting

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.342995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.342995Z digest=sha256:83ecbae92924c2053957b770237727dac75d9fdf273845daf11c8b68d4b1f716

Observation 237d6e51-1397-4689-8de1-4b867bbfa6b9 · outbound

This paper cites LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters.

LAST SToP For Modeling Asynchronous Time Series LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.347196Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.347196Z digest=sha256:297d307bf0d3853d2d2634d938085985f0031a0728466fcfffbaed4840ca2398

Observation a2c664f2-25b6-499b-9a1d-d8bce8eec1aa · outbound

This paper cites VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters.

LAST SToP For Modeling Asynchronous Time Series VisionTS: Visual Masked Autoencoders Are Free-Lunch Zero-Shot Time Series Forecasters

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.351547Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.351547Z digest=sha256:dccc32ae138f8c58b29e569a8582eae2e61514ab777c5388c23c3446e06fd460

Observation 91d70094-4a7b-4955-a616-96dcf5fb98c6 · outbound

This paper cites and Vere-Jones, D.

LAST SToP For Modeling Asynchronous Time Series and Vere-Jones, D

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.383979Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.355646Z digest=sha256:f4ea1b4117819d445446fcb8274194be3dc8ec6375f08cfdfafbf72755289f42

Observation 56fa6104-96c5-4639-8586-c510070c5f99 · outbound

This paper cites M., Furnari, A., Ma, J., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., and Wray, M.

LAST SToP For Modeling Asynchronous Time Series M., Furnari, A., Ma, J., Kazakos, E., Moltisanti, D., Munro, J., Perrett, T., Price, W., and Wray, M

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.374354Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.359731Z digest=sha256:b3401b583784383a182334e5c9dc65f50d1130d426546d81f2691f59173b09dc

Observation 5e700137-b0f7-44d1-9e02-da300d65ae32 · outbound

This paper cites A decoder-only foundation model for time-series forecasting.

LAST SToP For Modeling Asynchronous Time Series A decoder-only foundation model for time-series forecasting

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.364569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.363178Z digest=sha256:c80f7fc7357fadac894ef2e37dcc8465d80ab7efd01ed4a4e994fead82be6844

Observation d75471db-d944-4203-976e-59eedf2326ea · outbound

This paper cites Qlora: Efficient finetuning of quantized llms.

LAST SToP For Modeling Asynchronous Time Series Qlora: Efficient finetuning of quantized llms

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.355046Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.366737Z digest=sha256:e0c18a94a78850f21c282d13ebf79b91c6be4f7c53f9d25bcc2994e57ab51051

Observation 24be935e-aa7f-4d18-aac2-3a0168f96143 · outbound

This paper cites S., Mohapatra, C., Naidu, S.

LAST SToP For Modeling Asynchronous Time Series S., Mohapatra, C., Naidu, S

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.344725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.370392Z digest=sha256:b978f143497c9e1e25d278651495306a9d2d58c04852fc7d10ad025d8e2079dd

Observation accf8f73-707a-4d4c-9c82-64b494df5773 · outbound

This paper cites Recurrent marked temporal point processes: Embedding event history to vector.

LAST SToP For Modeling Asynchronous Time Series Recurrent marked temporal point processes: Embedding event history to vector

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.334543Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.373886Z digest=sha256:458e18783da897499997c061e3171eb1292bf17324f40a30e08c573243eaca73

Observation a02be7a2-239b-455c-be53-29ccbce06d7d · outbound

This paper cites The Llama 3 Herd of Models.

LAST SToP For Modeling Asynchronous Time Series The Llama 3 Herd of Models

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.377403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.377403Z digest=sha256:0b6bb8a58a6140da13b36e6a50e66bbac60d116675f0311e2a93dba1780c21c5

Observation dd54b1a3-44d2-4038-8cd9-275ff54d5285 · outbound

This paper cites an unresolved cited work.

LAST SToP For Modeling Asynchronous Time Series Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:02:49.323382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.381107Z digest=sha256:b8c7f957753c814d92aff3679c5c143175368e5751b40aacfe098de941381a82

Observation 13b68cb3-c436-4e2e-8d37-9090b195c6af · outbound

This paper cites an unresolved cited work.

LAST SToP For Modeling Asynchronous Time Series Unresolved cited work

Reference 19

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:02:49.310921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.384782Z digest=sha256:0f3eef085f1a6e6be13241a255f84f0da831ce830b1ca6916885d303fce4ce3b

Observation de0a4d78-9c13-46b2-929d-7f72503f8e24 · outbound

This paper cites an unresolved cited work.

LAST SToP For Modeling Asynchronous Time Series Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:02:49.299798Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.388676Z digest=sha256:6db94d390af946862801e830e8c407e41d8ca223616e35fb7bdc348374a60706

Observation f6332e94-9624-46ee-85e7-2d4bde957f7f · outbound

This paper cites Analysis of users’ behavior in structured e-commerce websites.

LAST SToP For Modeling Asynchronous Time Series Analysis of users’ behavior in structured e-commerce websites

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.289012Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.392276Z digest=sha256:0fb0d824b054c9177d59318e2d38fd9cc2168cfd1179feb29274915bf0addd42

Observation e78ed8e5-c955-450c-8f51-84fa1b2bfa66 · outbound

This paper cites Set functions for time series.

LAST SToP For Modeling Asynchronous Time Series Set functions for time series

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.277835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.395738Z digest=sha256:73c32620922d919f388bb64bbf5a62fe34d2816411f321b87fa75750879c755e

Observation 98ec72ed-fdeb-45cd-8e11-859cbf404f08 · outbound

This paper cites LoRA: Low-Rank Adaptation of Large Language Models.

LAST SToP For Modeling Asynchronous Time Series LoRA: Low-Rank Adaptation of Large Language Models

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.399297Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.399297Z digest=sha256:9204d3f41fb255148f961c8499c14d15d1317bb17e35ce7cd5dbe3904f698a9f

Observation 1961a44e-710c-46fa-af2d-28ce01c1ea44 · outbound

This paper cites an unresolved cited work.

LAST SToP For Modeling Asynchronous Time Series Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-09T14:02:49.267398Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.402605Z digest=sha256:b673bc98709e05c71f0adf761681c1022d05a8876d345c23fe597519a2478787

Observation 8eb4abb0-c312-462f-a81f-063c77651165 · outbound

This paper cites Y., Shi, X., Chen, P.-Y., Liang, Y., Li, Y.-F., Pan, S., and Wen, Q.

LAST SToP For Modeling Asynchronous Time Series Y., Shi, X., Chen, P.-Y., Liang, Y., Li, Y.-F., Pan, S., and Wen, Q

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.405672Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.405672Z digest=sha256:519ee1709523dbf57220e68ad9d90f39f29446a8d1cf07ab0b9441d8b0852292

Observation 02e7487e-a8e5-4724-a711-9ce6fdefc2e9 · outbound

This paper cites Visual causality analysis of event sequence data.

LAST SToP For Modeling Asynchronous Time Series Visual causality analysis of event sequence data

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.248688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.408916Z digest=sha256:7cf0860983f1996bb665eec20ebe52fea8e83e47a249621816986f25cceaa3d7

Observation 44eb5966-1e94-4042-a0d3-405b91fed48a · outbound

This paper cites C., Lo, W.-Y., et al.

LAST SToP For Modeling Asynchronous Time Series C., Lo, W.-Y., et al

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.236820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.412241Z digest=sha256:dbaea77afb7a441d90b96f70a73bae352e317b7b61f53e6fc37ee444be813738

Observation ac1bba20-a9cf-4d3e-8a6c-d1982f896d98 · outbound

This paper cites Interval-censored transformer Hawkes: Detecting information operations using the reaction of social systems.

LAST SToP For Modeling Asynchronous Time Series Interval-censored transformer Hawkes: Detecting information operations using the reaction of social systems

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.225227Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.415360Z digest=sha256:6a74b4ea8fbd183c86d025db70469c761c356edc0fd38bd4ee49ad14b94da5a6

Observation 8afe28f4-8e75-4d02-ab07-319faf9475b5 · outbound

This paper cites The language of actions: Recovering the syntax and semantics of goal-directed human activities.

LAST SToP For Modeling Asynchronous Time Series The language of actions: Recovering the syntax and semantics of goal-directed human activities

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.214137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.418600Z digest=sha256:e1a3d2bd76cc80cba425801beac9da741eb0c62edd6b1f6363bcf39338fdbb28

Observation 1101f275-9d55-461e-ae74-7da71e0dad3d · outbound

This paper cites Matryoshka representation learning.

LAST SToP For Modeling Asynchronous Time Series Matryoshka representation learning

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.421636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.421636Z digest=sha256:c644db173d5aefe720a898119a8ac3f37d398d734cd572b9dd2ec9dc8005c370

Observation 9926a9be-cc67-4cce-a890-d3c70f2e4ad1 · outbound

This paper cites The Power of Scale for Parameter-Efficient Prompt Tuning.

LAST SToP For Modeling Asynchronous Time Series The Power of Scale for Parameter-Efficient Prompt Tuning

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.424600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.424600Z digest=sha256:4a8fd0e6ed251589597ccb779a442ac94414093e5092ebc56d676dc2ea7f16a4

Observation ffdcd2ae-608c-4cac-973e-f671b5bb37eb · outbound

This paper cites Prefix-Tuning: Optimizing Continuous Prompts for Generation.

LAST SToP For Modeling Asynchronous Time Series Prefix-Tuning: Optimizing Continuous Prompts for Generation

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.428866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.428866Z digest=sha256:c078aacd6be929003a06c6b031c580ac0950bc5b5fb806ae8f3f966292f3b89a

Observation 5648458b-0a06-434e-b974-042e1960c98d · outbound

This paper cites P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks.

LAST SToP For Modeling Asynchronous Time Series P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.432870Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.432870Z digest=sha256:2da3f54ed2f14fed1a3407bf4a6f9d57d6434690334ac2688c078f3c281c9cf5

Observation 4169b369-e16a-4e8b-ae3e-dfa6b05b4a99 · outbound

This paper cites Stochastic Optimal Control of Epidemic Processes in Networks.

LAST SToP For Modeling Asynchronous Time Series Stochastic Optimal Control of Epidemic Processes in Networks

Reference 34

Resolution
verified exact
local_arxiv, observed 2026-08-09T14:02:48.688335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.436735Z digest=sha256:7fd529043c28d7f2f83b94db16391728776f6e4250ec9dfbe7feb784e2fe8837

Observation 089f98ea-39fe-45c4-84c0-8f3c3bf86ccf · outbound

This paper cites u dke, D., Bilo s , M., Shchur, O., Lienen, M., and G\.

LAST SToP For Modeling Asynchronous Time Series u dke, D., Bilo s , M., Shchur, O., Lienen, M., and G\

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.196592Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.440976Z digest=sha256:9c9f9c8ac20474bbc29443d78dd9663e2f88f6130687df46625d9af498166dda

Observation a6306f17-bfa9-4eaf-9480-3b1ca387cff3 · outbound

This paper cites Peft: State-of-the-art parameter-efficient fine-tuning methods.

LAST SToP For Modeling Asynchronous Time Series Peft: State-of-the-art parameter-efficient fine-tuning methods

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.444347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.444347Z digest=sha256:2a315217e241d3de7ce701e631bc47b52f048fc8b21d758b5d7c6f7d8bf75c2d

Observation ba6f0c5b-e243-493d-8fc7-829159cbb180 · outbound

This paper cites A., Durand, T., He, J., Sigal, L., and Mori, G.

LAST SToP For Modeling Asynchronous Time Series A., Durand, T., He, J., Sigal, L., and Mori, G

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.179191Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.447974Z digest=sha256:17e8d77b767d596e0691b405e33428fef0e3d392c33f8ec7df590715b2262d0e

Observation f9ef0306-2075-4423-8af8-fb99dd709ec6 · outbound

This paper cites and Eisner, J.

LAST SToP For Modeling Asynchronous Time Series and Eisner, J

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.167441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.451678Z digest=sha256:aef293fdebe45de5f72ac93035034ab2c24a10dfd6c4266d1970fcb890906ecb

Observation 403aac37-aa8f-4ff0-b591-4ddf2bdbcaa1 · outbound

This paper cites Transformer Embeddings of Irregularly Spaced Events and Their Participants.

LAST SToP For Modeling Asynchronous Time Series Transformer Embeddings of Irregularly Spaced Events and Their Participants

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.157217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.455569Z digest=sha256:5249f482e592cec71e870e6b7a8e0d37e61364140100aba0c515552a3ddbfbf0

Observation a194abc3-5ccf-479d-a304-6407e1f4bbaf · outbound

This paper cites Justifying recommendations using distantly-labeled reviews and fine-grained aspects.

LAST SToP For Modeling Asynchronous Time Series Justifying recommendations using distantly-labeled reviews and fine-grained aspects

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.146587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.459109Z digest=sha256:e4458662c25ffb26a03a19e254bef27a624e50f96c13b34f76d5bd4fbe60bc39

Observation 69cf950a-5cf0-4cb7-97eb-b8f21e733e5d · outbound

This paper cites Nguyen, N., Sinthong, P., and Kalagnanam, J.

LAST SToP For Modeling Asynchronous Time Series Nguyen, N., Sinthong, P., and Kalagnanam, J

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.134988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.462647Z digest=sha256:eab64c39a2d8197519b37c4c06851f92f9a9c180520f8719913b43f89f3241d6

Observation 1662f2bf-5328-4ac9-95ef-f59f4996938d · outbound

This paper cites and Eisner, J.

LAST SToP For Modeling Asynchronous Time Series and Eisner, J

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.123737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.466019Z digest=sha256:de47d0a208479719aba6f6f6142e146d18791347a28ca4b7a3e1784041ec58bb

Observation e10e8855-4adc-42b1-a232-5b592d53f7cc · outbound

This paper cites Language models are unsupervised multitask learners, 2019.

LAST SToP For Modeling Asynchronous Time Series Language models are unsupervised multitask learners, 2019

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.470104Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.470104Z digest=sha256:a517d7536ad94b991c702142bf5ee899657e704674d5e4b132e7930f3f76541e

Observation 9be9f1d2-dada-469f-9e05-94f1fa1804c3 · outbound

This paper cites W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al.

LAST SToP For Modeling Asynchronous Time Series W., Hallacy, C., Ramesh, A., Goh, G., Agarwal, S., Sastry, G., Askell, A., Mishkin, P., Clark, J., et al

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.105180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.473568Z digest=sha256:7f04c5a59483a15d2cb34f7a00d7925c2e865ab92e69d08d01b21441a2fde2b0

Observation 15015ba3-b0b1-4b2c-b2e6-7bf4d0d7aebc · outbound

This paper cites Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting.

LAST SToP For Modeling Asynchronous Time Series Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.477122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.477122Z digest=sha256:bd12dfac524371f07565900995beb0c6944f81e9b71ee60bfb247f704b016597

Observation 5c42c348-e3da-41d6-9f72-df1f7319d1bb · outbound

This paper cites F., Choi, D., Turner, R.

LAST SToP For Modeling Asynchronous Time Series F., Choi, D., Turner, R

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.094435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.481465Z digest=sha256:2deb5b598fd1d0b26b01c13d0cccfc17c9dd2bf7b7c852518a20e645640315c1

Observation 7fb7ede3-7f0f-4209-8dc1-9c04210f74dc · outbound

This paper cites Sir-Hawkes: on the relationship between epidemic models and Hawkes point processes.

LAST SToP For Modeling Asynchronous Time Series Sir-Hawkes: on the relationship between epidemic models and Hawkes point processes

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.083385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.484944Z digest=sha256:8698fc19073e98e41309a8179097d9d33ac2ff621be90e3487456b84b6a6ce83

Observation 72d70856-f473-468e-8182-019ed3ea02dd · outbound

This paper cites Modeling irregular time series with continuous recurrent units.

LAST SToP For Modeling Asynchronous Time Series Modeling irregular time series with continuous recurrent units

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.488404Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.488404Z digest=sha256:5fc2e5a5ea73c0783ca1a4260d06804f5d8061075f5447c11f457bd51547b944

Observation 82d55948-dd23-4d4d-a41f-8357a3a75ebb · outbound

This paper cites C., Januschowski, T., Gasthaus, J., and G \"u nnemann, S.

LAST SToP For Modeling Asynchronous Time Series C., Januschowski, T., Gasthaus, J., and G \"u nnemann, S

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.063721Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.491875Z digest=sha256:04b6ad707cfdebfc065cf59bf749f2dbef82894f5d2ca55b82d48a9f8fd3546a

Observation 7382d93c-f0b0-4336-b854-7a1594ead4e8 · outbound

This paper cites Dropout: a simple way to prevent neural networks from overfitting.

LAST SToP For Modeling Asynchronous Time Series Dropout: a simple way to prevent neural networks from overfitting

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.495565Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.495565Z digest=sha256:8488fb81e44ae672bd52b7258885df30e98ac1ca63ee71617eb399864d9fdd28

Observation 6d1fc334-0a17-46e0-87fb-80e2d8ba5501 · outbound

This paper cites N., Kaiser, L., and Polosukhin, I.

LAST SToP For Modeling Asynchronous Time Series N., Kaiser, L., and Polosukhin, I

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.044852Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.499738Z digest=sha256:31fd6788aebf3a99e7484e653f0a3cb76ab0523ec78c7811a21cefafedf89e3e

Observation f03ebfbe-0f71-4fd8-bed4-1e06ffbe6f6b · outbound

This paper cites LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos.

LAST SToP For Modeling Asynchronous Time Series LifelongMemory: Leveraging LLMs for Answering Queries in Long-form Egocentric Videos

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.503321Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.503321Z digest=sha256:b50d4025e0cc84bc26cda594a2a9444ca43d38df01473cda4c27ac4961a1f360

Observation ccacf443-e778-47ec-afa5-8b9e448d9701 · outbound

This paper cites Transformers in time series: A survey.

LAST SToP For Modeling Asynchronous Time Series Transformers in time series: A survey

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.033825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.507154Z digest=sha256:cf7f33d457a78fd77f9f235d53f167e527e8e2601745fc533c776ab4d233eee6

Observation 2306d1e3-dd89-4cfa-8578-3fe835318192 · outbound

This paper cites Nyc taxi open data, 2014.

LAST SToP For Modeling Asynchronous Time Series Nyc taxi open data, 2014

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.023126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.510733Z digest=sha256:9579fec3bbae6ad1c204a2821cdea096e9c7b42535831b2d2909d2a139256c87

Observation cfb42c9c-0c77-4349-9c94-80e0a6bbeb8f · outbound

This paper cites Unified Training of Universal Time Series Forecasting Transformers.

LAST SToP For Modeling Asynchronous Time Series Unified Training of Universal Time Series Forecasting Transformers

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.514125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.514125Z digest=sha256:93af7ef63ca28ec80ff7618fe05b867fd532c76414c5e30bd8df003bc2856028

Observation 6b85b175-12d6-4eff-97cc-97b3c175f9d6 · outbound

This paper cites Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting.

LAST SToP For Modeling Asynchronous Time Series Autoformer: Decomposition transformers with auto-correlation for long-term series forecasting

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:49.009041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.518385Z digest=sha256:25221342b530462908861efdb7c47a96974467388b2ba0204321f9f12967e5eb

Observation ecf2ad98-77b0-41ff-a005-e429fcfefb8f · outbound

This paper cites Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models.

LAST SToP For Modeling Asynchronous Time Series Inference Scaling Laws: An Empirical Analysis of Compute-Optimal Inference for Problem-Solving with Language Models

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.521480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.521480Z digest=sha256:4046e3dd65f2231a4823779af5848e1400e02c8325ef8a05ade6c10dd3d855be

Observation 493e45fa-262a-461f-82bf-51e067963ad7 · outbound

This paper cites Soft prompt recovers compressed llms, transferably.

LAST SToP For Modeling Asynchronous Time Series Soft prompt recovers compressed llms, transferably

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.994057Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.524912Z digest=sha256:9323736e04d4bfe0c2a7d065c3177909a52635957d5a67af0cd31555afa57b54

Observation 034d2a9e-1ba1-4bca-aeee-bf64e3ce8db9 · outbound

This paper cites and Salim, F.

LAST SToP For Modeling Asynchronous Time Series and Salim, F

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.981623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.529166Z digest=sha256:1eaf29901a14516e0bc68b238fc8d44d26eb9b745b3f488e96ee9ebee5fce7d4

Observation b353dd8b-b084-4b4e-9a33-6f95910eb3c8 · outbound

This paper cites Hypro: A hybridly normalized probabilistic model for long-horizon prediction of event sequences.

LAST SToP For Modeling Asynchronous Time Series Hypro: A hybridly normalized probabilistic model for long-horizon prediction of event sequences

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.969614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.533170Z digest=sha256:a40858a5789fac22199ff399a66106a8c06e0498339581b4ec52ae0a238d2daf

Observation 33fec688-fb4d-45ad-b1d9-309e46616a03 · outbound

This paper cites Y., et al.

LAST SToP For Modeling Asynchronous Time Series Y., et al

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.959300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.536328Z digest=sha256:fbe08ad46555c0f8c73f7e27808ddb720e9ea40ea106f25e3c3a0405e7a2c864

Observation beaab3c3-0de8-4549-bfe5-831ae799027e · outbound

This paper cites C., Smith, K.

LAST SToP For Modeling Asynchronous Time Series C., Smith, K

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.949235Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.539461Z digest=sha256:5b54e6ca562e47344ca1d05cf1bc129458809fa5b0e8e5fe80f7672ad15bdf0d

Observation 05c62c91-a862-4889-9b4a-81a0b542eb6f · outbound

This paper cites An evaluation of statistical approaches to text categorization.

LAST SToP For Modeling Asynchronous Time Series An evaluation of statistical approaches to text categorization

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.937457Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.542509Z digest=sha256:e1ea5bb217b9e84acdee2b5f37960b804b61002e4d1b876097f2ea56d63d88a2

Observation e4af71c6-6197-42a1-92cb-81e4d318cb09 · outbound

This paper cites Every moment counts: Dense detailed labeling of actions in complex videos.

LAST SToP For Modeling Asynchronous Time Series Every moment counts: Dense detailed labeling of actions in complex videos

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.926132Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.545453Z digest=sha256:d663393cdee0f1ccf692fd39514f0998ec0ffe9640ed6584a2dda3a1cb21b07c

Observation c09ba97a-782a-4278-9e17-fdd739a748b3 · outbound

This paper cites Soundstream: An end-to-end neural audio codec.

LAST SToP For Modeling Asynchronous Time Series Soundstream: An end-to-end neural audio codec

Reference 65

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.549455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.549455Z digest=sha256:702f55ae62340fcf476553a2feb20f8ad767c3b742f7c709bbf72d730f0e449c

Observation ade2c3bc-5c3f-4639-9528-6d14c858cf2a · outbound

This paper cites Are transformers effective for time series forecasting? In Conference on Artificial Intelligence (AAAI), 2023.

LAST SToP For Modeling Asynchronous Time Series Are transformers effective for time series forecasting? In Conference on Artificial Intelligence (AAAI), 2023

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.907362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.553327Z digest=sha256:6e0d6edd70042fab2cbe5b2245d2696d18a3a857f5f48fa0115e9f6dfbe059bd

Observation 6e5fb013-36a0-4578-828d-00a885e976d2 · outbound

This paper cites Self-attentive Hawkes process.

LAST SToP For Modeling Asynchronous Time Series Self-attentive Hawkes process

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.896439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.557375Z digest=sha256:a4ba2974e1636b8dfa29790bf07193eb8a1fa8d355d1dc1e47b0adfd9603dd78

Observation 8e4968a2-c8cf-4d93-a973-1090822e0e12 · outbound

This paper cites Irregular multivariate time series forecasting: A transformable patching graph neural networks approach.

LAST SToP For Modeling Asynchronous Time Series Irregular multivariate time series forecasting: A transformable patching graph neural networks approach

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.885154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.561519Z digest=sha256:18f6b7ffdd4e9aa0f112213c25375600aec3533907bad297647bbcda089f9e0f

Observation 3b7d6469-4696-4c84-9512-c2b00b6a8f24 · outbound

This paper cites Large Language Models for Time Series: A Survey.

LAST SToP For Modeling Asynchronous Time Series Large Language Models for Time Series: A Survey

Reference 69

Resolution
unresolved
no resolver link, observed 2026-08-09T14:02:48.565580Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T14:02:48.565580Z digest=sha256:464eba47384107dc2df9b0e5f9b1897ae1ab0fc5a36c54e716a73b8ee3fbcb80

Observation 110a87e7-b9b6-4226-9907-65ba488551ad · outbound

This paper cites and Yan, J.

LAST SToP For Modeling Asynchronous Time Series and Yan, J

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.873307Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.569955Z digest=sha256:5ee0648bc15e82bb6110b0e6c176273f5ef728bb7e56699fe779d52eecad9cdc

Observation 2f4f7ad2-44b0-448d-848b-493f915df702 · outbound

This paper cites Counterfactual neural temporal point process for estimating causal influence of misinformation on social media.

LAST SToP For Modeling Asynchronous Time Series Counterfactual neural temporal point process for estimating causal influence of misinformation on social media

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.862293Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.574012Z digest=sha256:90831e1fa79dbe28427e629a1477b134298c351b4034437317601d40f1f6b0ca

Observation b443f0fb-47d7-4c26-80e0-feb2c67670ce · outbound

This paper cites A., He, H.

LAST SToP For Modeling Asynchronous Time Series A., He, H

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.850552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.578048Z digest=sha256:2a377bde6ef6af506db5e8727b89a84eb0e61879328d47c580ebb6774b099dc1

Observation 0b9e2c56-4aa1-4211-9e55-70b692455d24 · outbound

This paper cites Q., Agarwal, N., Lee, K., and Sun, C.

LAST SToP For Modeling Asynchronous Time Series Q., Agarwal, N., Lee, K., and Sun, C

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.840475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.582302Z digest=sha256:55261e0e743c86259b3395e9a0bf997ff2dca6ce72165eaf2d7bd49e7f9bda5d

Observation 7b7e628f-e2f6-49ef-832a-706c233491d0 · outbound

This paper cites Informer: Beyond efficient transformer for long sequence time-series forecasting.

LAST SToP For Modeling Asynchronous Time Series Informer: Beyond efficient transformer for long sequence time-series forecasting

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.830845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.586440Z digest=sha256:d32206e614327004d4f239914a45ea0006b9cb17131c8e77ad0a3e9f26d23067

Observation 76ae791c-2ec9-4a12-9cfa-b50553fed51e · outbound

This paper cites Learning triggering kernels for multi-dimensional Hawkes processes.

LAST SToP For Modeling Asynchronous Time Series Learning triggering kernels for multi-dimensional Hawkes processes

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.819711Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.590310Z digest=sha256:591c3b33d78aa722e21b98987045098bdb1405f88e7fc7ae944f02f29e36b8d6

Observation 83172fd2-ef36-45b8-8bac-88e19da0102a · outbound

This paper cites One fits all: Power general time series analysis by pretrained lm.

LAST SToP For Modeling Asynchronous Time Series One fits all: Power general time series analysis by pretrained lm

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.809478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.593768Z digest=sha256:68e8ae8ba7f25891f89a945d1d09b1ec8f137fe6f849cd682124024ba1f2f3bf

Observation d953bdc1-fd69-4632-b58d-103b9eaf4475 · outbound

This paper cites Transformer Hawkes process.

LAST SToP For Modeling Asynchronous Time Series Transformer Hawkes process

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T14:02:48.798056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T14:02:48.597504Z digest=sha256:9be6866132e9864c03d2de5b046b77c102ed4f9d792e91816e9281116ece8213

Pith citing papers

Observation de765017-5bf7-4648-aee9-cb79d1a39359 · inbound

LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs cites this paper.

LiSTEN: Learning Soft Token Embeddings for Neural Audio LLMs LAST SToP For Modeling Asynchronous Time Series

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:47.533403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:33:47.533403Z digest=sha256:4ed8ba28281a827e1f626919314b704b8b0eb31a87c47bd77367986ad7b4e7b7

Observation 82d61822-c177-4093-a58d-7fdaf3470c5f · inbound

MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling cites this paper.

MILM: Large Language Models for Multimodal Irregular Time Series with Informative Sampling LAST SToP For Modeling Asynchronous Time Series

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-14T20:19:27.703452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-14T20:16:47.340541Z digest=sha256:3caabd81fff50edca7c0dbe96529a376e04b990a6c5fe4ac9f92a0137ef1a5ca