Pith. sign in

Paper Citation Record · LEDGER

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning

As of 7 August 2026, this Paper Citation Record lists 50 of 50 outbound references and 0 inbound Pith citation observations for arXiv:2508.00938.

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

pith.paper-citation-record.v1
2508.00938 v1

Coverage vector

measured 50 of 50 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T10:40:51.693935Z

measured 50 of 50 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

50 of 50 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved49
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7fa0f461-c2bb-405d-b748-fc50df069362 · outbound

This paper cites Accurate medium-range global weather forecasting with 3d neural networks,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Accurate medium-range global weather forecasting with 3d neural networks,

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.406450Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.406450Z digest=sha256:a8cb6e425ef9d263c12fd60ebc4fcdab1ff8f9db66e38fc8ec53c62407a2b7b5

Observation e45b6e88-2271-4a69-b841-bf579eda3eca · outbound

This paper cites A survey on time-series pre-trained models,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning A survey on time-series pre-trained models,

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.412332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.412332Z digest=sha256:635ca07c565dab90c1f67bba096638e657ce72c33e1c0b5a8c235fac633ce95c

Observation dba89d86-951c-4e01-94c8-fa4c9cc29796 · outbound

This paper cites Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Spatial-Temporal Data Mining for Ocean Science: Data, Methodologies, and Opportunities

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.416983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.416983Z digest=sha256:7f5228ca39d044e3ab85eb1d93d4b3a9d37930ae2350482bab4eaa4fa171f9ae

Observation c531a12e-4e98-4b3f-8711-1e29356f75ce · outbound

This paper cites Ocean currents show global intensification of weak tropical cyclones,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Ocean currents show global intensification of weak tropical cyclones,

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.422524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.422524Z digest=sha256:d5603b47967351e4d13e9f555fc5d22e6cda68952f45cf2c1c778c61138dc67a

Observation 655b24e5-1787-4c33-9b67-fade82a491c4 · outbound

This paper cites El ni˜no–southern oscillation complexity,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning El ni˜no–southern oscillation complexity,

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.427577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.427577Z digest=sha256:0892b889b37eba8511cba860e369c3479b2311d707c5acb2956cd5ae117ce831

Observation 17c0e7e1-22cc-49ad-a49c-7f66b5f85de9 · outbound

This paper cites The circulation of the eastern tropical pacific: A review,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning The circulation of the eastern tropical pacific: A review,

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.432544Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.432544Z digest=sha256:fa5873d775f292b07f808d9a9321a7b58b92874017b88bcb2b1054d74ef2aeab

Observation 9a68a1a2-25ba-4fca-ad5c-cd03cfb1d2d9 · outbound

This paper cites Improving language understanding by generative pre-training,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Improving language understanding by generative pre-training,

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.438487Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.438487Z digest=sha256:c339f556206e80877069e9d8735a1fcafdcfe82d88db387ade9bb45269517f0a

Observation 649061eb-d988-4893-870b-506ee17b77fc · outbound

This paper cites LLaMA: Open and Efficient Foundation Language Models.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning LLaMA: Open and Efficient Foundation Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.443669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.443669Z digest=sha256:341ec8799c26d86bd629bfcd83b4f1a371db1418bd71c37c4b3e3719ceb5d211

Observation 8a4f2237-bf8a-49a7-ba47-4954c25eeb42 · outbound

This paper cites DeepSeek-V3 Technical Report.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning DeepSeek-V3 Technical Report

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.448794Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.448794Z digest=sha256:bec0598c75a1d64fbe84b41f84333884b3bf6abded68eba1d01dc74bceb5625f

Observation 7b3bd770-77e9-415c-aadb-e83673708502 · outbound

This paper cites Mixed-order relation-aware recurrent neural networks for spatio-temporal forecast- ing,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Mixed-order relation-aware recurrent neural networks for spatio-temporal forecast- ing,

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.454309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.454309Z digest=sha256:4ed787c5d9da28b1b4a3130856d20c4eb09bacd074d1f6ef094e25d7662a3baa

Observation 9069ec98-a6fa-4035-984c-a0f315e36a88 · outbound

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

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning One fits all: Power general time series analysis by pretrained lm,

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.459640Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.459640Z digest=sha256:8c26f63fb9c8b40fc569864cd070bbb0762d3992b7009330e2801917b87599cc

Observation 21b8521d-5693-431b-8ac1-39ed5b3964e9 · outbound

This paper cites Unitime: A language-empowered unified model for cross-domain time series forecasting,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Unitime: A language-empowered unified model for cross-domain time series forecasting,

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.464254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.464254Z digest=sha256:79815f1de94a451bd9e38da39c612e1bcfc328ec1456081459295aceb57c7392

Observation 816d11de-965f-4a58-b08e-2afe3b807163 · outbound

This paper cites Time-LLM: Time series forecasting by reprogramming large language models,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Time-LLM: Time series forecasting by reprogramming large language models,

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.469204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.469204Z digest=sha256:9038677b91b05ddc71c80be4a3c4cfd5f88f1f0d2d0fc89a2c47175455aab5a6

Observation 064fc0cf-b6cb-4fb9-a494-c82e57a30ec4 · outbound

This paper cites Position paper: What can large language models tell us about time series analysis,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Position paper: What can large language models tell us about time series analysis,

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.475018Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.475018Z digest=sha256:27364b743bf4c3786e31850299213e844df8459d13a2e62569e4d298d6a517b4

Observation 8e445b05-2952-4566-9a9c-6c701ab8af8b · outbound

This paper cites Tempo: Prompt-based generative pre-trained transformer for time series forecasting,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Tempo: Prompt-based generative pre-trained transformer for time series forecasting,

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.483001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.483001Z digest=sha256:808dad9a77d9929cebdcd81b70a62ac55d6afdf6c8c52e84199571adf8daac9e

Observation c5288431-2af2-4521-b5e4-35863a5b83f2 · outbound

This paper cites Higrn: a hierarchical graph recurrent network for global sea surface temperature prediction,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Higrn: a hierarchical graph recurrent network for global sea surface temperature prediction,

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.489381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.489381Z digest=sha256:19a30e3cf89ffd96af2a8243f3873abeea38ae9d05deae540d63db912dd6b48b

Observation ed3206fa-63c2-4baa-a569-7fe3b638526d · outbound

This paper cites Cross- region graph convolutional network with periodicity shift adaptation for wide-area sst prediction,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Cross- region graph convolutional network with periodicity shift adaptation for wide-area sst prediction,

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.494918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.494918Z digest=sha256:0c796a2b9a2cd53fc60efabef8032547057b06f788497e7f186c6693134edd46

Observation f493f6a7-c2fd-4513-b40a-c896a0901dab · outbound

This paper cites Mustc: A multi-stage spatio–temporal clustering method for uncovering the regionality of global sst,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Mustc: A multi-stage spatio–temporal clustering method for uncovering the regionality of global sst,

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.499577Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.499577Z digest=sha256:437392f62d9af29118e86adb461ecd7581b05d767e77c7c92e2362e8b62ddd3e

Observation 96ab927a-77d9-48f5-b1d5-771b4a8e6598 · outbound

This paper cites Physical knowledge-enhanced deep neural network for sea surface temperature prediction,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Physical knowledge-enhanced deep neural network for sea surface temperature prediction,

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.504694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.504694Z digest=sha256:5e37a1e1e6b9ea4d743c1ac7e33bbc5da964c52ffb94af9726c32b0fdbfe7eff

Observation 1808d597-5d9c-49d2-ad22-20756fb7cd09 · outbound

This paper cites Multi-scale adaptive graph neural network for multivariate time series forecasting,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Multi-scale adaptive graph neural network for multivariate time series forecasting,

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.508970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.508970Z digest=sha256:172e0b8addb8f208e827d4f83379ae14487ee4df74cf475e4f13968fdfd6bf0b

Observation f2b7d3a6-4dd7-4c4c-969b-9a1904e856f2 · outbound

This paper cites Causal- former: An interpretable transformer for temporal causal discovery,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Causal- former: An interpretable transformer for temporal causal discovery,

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.513460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.513460Z digest=sha256:9c0a6483037d7cef43945fb2df0a6144723fea46fe47bd9d38e704653809b489

Observation be7e15de-8cee-4b2d-981f-af25bfc50122 · outbound

This paper cites On evaluating the predictability of sea surface temperature using entropy,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning On evaluating the predictability of sea surface temperature using entropy,

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.520474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.520474Z digest=sha256:632d6c6cbe1bec6ef1acf54dfacf49cb91f32da9f394b7d8b6b942d1a8951413

Observation da85a5f2-fbe1-4d86-8a07-a161fedfa330 · outbound

This paper cites The ecmwf ensemble prediction system: Methodology and validation,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning The ecmwf ensemble prediction system: Methodology and validation,

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.525516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.525516Z digest=sha256:db965250f0b4e3c374af77a240a882b21b808dec0af8ba8b6b323799a267d291

Observation 257e9cdf-58e1-4c41-8782-89c3490dc4f4 · outbound

This paper cites Spatiotemporal attention network for chl-a prediction with sparse multifactor observations,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Spatiotemporal attention network for chl-a prediction with sparse multifactor observations,

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.531477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.531477Z digest=sha256:0ae59ce7c4b5bdf040d178c6da9e2078f51cf8611a0cac252285ff2264538bc9

Observation 31fc4410-0cb0-43dc-b4ed-ef26a37d8270 · outbound

This paper cites Multivariate time series forecasting with dynamic graph neural odes,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Multivariate time series forecasting with dynamic graph neural odes,

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.537250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.537250Z digest=sha256:42810e996775bc854c33e65d99f010fb6b96b5e8aa1d5726d26eb4065f852fd1

Observation 5598f90b-7fc7-482e-9993-711875271d21 · outbound

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

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Informer: Beyond efficient transformer for long sequence time-series forecasting,

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.543773Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.543773Z digest=sha256:7b8427e1e317bc1396b6715bdee5fdd898dccb5e200c0e93844adc4db6700fc0

Observation 00bd3a27-7c15-42b9-902d-880c88f2d8ae · outbound

This paper cites Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Fedformer: Frequency enhanced decomposed transformer for long-term series fore- casting,

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.549048Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.549048Z digest=sha256:1c8a944d2f7ce3de9648e1c2c8db5da6f50a309ef2c1226c63a54c3358956a7c

Observation 1c5cbdfd-baae-475b-b8fb-fd14e9ee585f · outbound

This paper cites Timemixer++: A general time series pattern machine for universal predictive analysis,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Timemixer++: A general time series pattern machine for universal predictive analysis,

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.554138Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.554138Z digest=sha256:7aaf7192d416fe9f364e605ce5e7e254d8b6e13091843fb09cd55ec84238c7e4

Observation 466ca20e-51f0-4041-af06-bfc228cc5b06 · outbound

This paper cites Are transformers effective for time series forecasting?.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Are transformers effective for time series forecasting?

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.559585Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.559585Z digest=sha256:2d3c42f140f34b83966eb640aa55fc9b6b70ab30c2c8fc6c4b5911f623d36d5c

Observation 6925735d-2204-45d9-a061-de2eacd8f59c · outbound

This paper cites Frequency-domain mlps are more effective learners in time series forecasting,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Frequency-domain mlps are more effective learners in time series forecasting,

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.564867Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.564867Z digest=sha256:20d357f5567a906f60bf089f903b96c6a58ec96faa3095f145d49599aca9f04d

Observation 4494b860-5d53-48c9-a90a-c4a0f6f0c396 · outbound

This paper cites Llm4hrs: Llm-based spatiotemporal imputation model for highly sparse remote sensing data,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Llm4hrs: Llm-based spatiotemporal imputation model for highly sparse remote sensing data,

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.570502Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.570502Z digest=sha256:099e90cd3ca3fbb9282c44a65a03e8d95047df6e9313d6108fdc8135fff54194

Observation 6ac5705b-2bc2-4699-a73c-5447d3ef3c21 · outbound

This paper cites PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning PromptCast: A New Prompt-based Learning Paradigm for Time Series Forecasting

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.575817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.575817Z digest=sha256:efe729a154a6bc712ae09b32ecf7763fbdee20a60472e4457418db39e5d21d00

Observation 4e142d2a-7164-401c-bf24-bf75756edf90 · outbound

This paper cites Urbangpt: Spatio-temporal large language models,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Urbangpt: Spatio-temporal large language models,

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.581861Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.581861Z digest=sha256:e235c2bb4a15bda2dd6310700648649a13b0a85d4643afca83d380f2c0312d6a

Observation 144597f8-90f9-48ec-bff2-e1950bc48d82 · outbound

This paper cites A foundation model of transcription across human cell types,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning A foundation model of transcription across human cell types,

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.592084Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.592084Z digest=sha256:fad19bd55c5ac54e16ef676e515aa4baaf7603368a9200b28a6646986c145722

Observation cecf5d40-385c-4da9-bd2d-cbfe24d7d7f9 · outbound

This paper cites Protgpt2 is a deep unsupervised language model for protein design,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Protgpt2 is a deep unsupervised language model for protein design,

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.601360Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.601360Z digest=sha256:e14f20da4a449869ce24ed39addbc35f47241fb88fa45fea3f48a762b69d028b

Observation 1891bfe6-206e-4160-a905-8b6cb0133796 · outbound

This paper cites K2: A foundation language model for geoscience knowledge understanding and utilization,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning K2: A foundation language model for geoscience knowledge understanding and utilization,

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.608051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.608051Z digest=sha256:d1f41021f8dc895f506c9cce70c1dcb39e267bd822d1d56e60b3d7822bd8e1c6

Observation 710b5ef2-1c87-4894-8824-d9d416703bea · outbound

This paper cites Foundation model for material science,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Foundation model for material science,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T10:40:51.993898Z

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=2026-08-06T10:40:51.612855Z digest=sha256:cd4d25548cf49105416dedbdcaba7c1049dd99db9fbe6380f4504490baf34722

Observation bb933f05-7407-4b0f-aa4a-0cb7e993dcbd · outbound

This paper cites Leveraging network structure for efficient dynamic negative sampling in network embedding,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Leveraging network structure for efficient dynamic negative sampling in network embedding,

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.620594Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.620594Z digest=sha256:c8b2ea8a95acaa3483060b26a249774460ceea99c8b31db19b55ee9748ba881b

Observation cdb21201-f691-4c42-ad4f-8e115885c0f4 · outbound

This paper cites Fathomgpt: A natural language interface for interactively exploring ocean science data,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Fathomgpt: A natural language interface for interactively exploring ocean science data,

Reference 39

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.632929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.632929Z digest=sha256:48c0bf557cca66496250a69835054bee5b67380691e0d5f0efe60bd157d58886

Observation c0a9daf1-9118-4383-9702-c13a151f3599 · outbound

This paper cites Oceangpt: A large language model for ocean science tasks,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Oceangpt: A large language model for ocean science tasks,

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.638215Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.638215Z digest=sha256:e6eed531ebd6c6677dab65c617801c2e70c725835e7abac2d3146f86ac69d80f

Observation cd2dfd36-1ed8-4602-a9ad-7e731fe60e27 · outbound

This paper cites Knowledge graph quality management: a compre- hensive survey,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Knowledge graph quality management: a compre- hensive survey,

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.644219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.644219Z digest=sha256:afdadc50edc5f9d929a79c2728ac116debdc314018a946decf6e536dac10783a

Observation 7f14bfd6-083f-4639-9bc3-6b861bcd077e · outbound

This paper cites Unifying large language models and knowledge graphs: A roadmap,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Unifying large language models and knowledge graphs: A roadmap,

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.648847Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.648847Z digest=sha256:22cd2ea08d754caa9fdfe7888fbf44e56883ee45ada947ccbabd0eef53262537

Observation 1c01a8f1-e6cc-4b78-83b2-dc9839407c94 · outbound

This paper cites Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Beyond Scaleup: Knowledge-aware Parsimony Learning from Deep Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.654193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.654193Z digest=sha256:b040c6542e284d0988e8ec58ef462a04514d3433017a5bdcd72a02c435db5482

Observation f8d52724-afbb-4014-8199-04f107f4aa7c · outbound

This paper cites Knowledge graphs: Opportunities and challenges,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Knowledge graphs: Opportunities and challenges,

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.659141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.659141Z digest=sha256:b03fc259c2eb6348f467fff2ce46f63c89802dcceeb988a48702db67fa748215

Observation e87f5a1c-4fee-46d1-8ade-5a61a5af14b8 · outbound

This paper cites Uukg: Unified urban knowledge graph dataset for urban spatiotemporal prediction,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Uukg: Unified urban knowledge graph dataset for urban spatiotemporal prediction,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.663982Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.663982Z digest=sha256:c62e9c8d288721b97a5cbf7040d6c4e08965e6c49bc6e7d6afaf69eb63580247

Observation 4c7b53c9-d699-48c2-b8ed-73a56e033ad9 · outbound

This paper cites From Local to Global: A Graph RAG Approach to Query-Focused Summarization.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning From Local to Global: A Graph RAG Approach to Query-Focused Summarization

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.668345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.668345Z digest=sha256:22523941cf14d28a3a0d1835f44d939a353c63a3764df081cbdbf0b2456df9ee

Observation b5c7eafe-4f00-4d31-882b-df63e7a8a9e5 · outbound

This paper cites Knowledge Graph-Guided Retrieval Augmented Generation.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Knowledge Graph-Guided Retrieval Augmented Generation

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.673647Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.673647Z digest=sha256:3d4edd74966da4731b0edfed75f5b6364559e961c7dd574c213890e89cb49c47

Observation 67986563-3c4f-4e55-ba4c-3dfdebe05f5d · outbound

This paper cites Reversible instance normalization for accurate time-series forecasting against distri- bution shift,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Reversible instance normalization for accurate time-series forecasting against distri- bution shift,

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.678627Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.678627Z digest=sha256:c13f3e41c67ea159af54aac83e719c09c1b5eae2e6a8db23635044166e1a877e

Observation d2707f32-ae3e-4572-a057-93e7b1ebacc7 · outbound

This paper cites Making large language models perform better in knowledge graph completion,.

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning Making large language models perform better in knowledge graph completion,

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.689030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.689030Z digest=sha256:e2306049e350e52b9851cc063293acea76b1aba1b26800656a202cd009bdf50c

Observation 23f363c9-5b53-4459-9305-c42703a90179 · outbound

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

Trusted Routing for Blockchain-Empowered UAV Networks via Multi-Agent Deep Reinforcement Learning A decoder-only foundation model for time-series forecasting,

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-06T10:40:51.693935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T10:40:51.693935Z digest=sha256:f495a4e701096a6c95b34ae320b1691803f2dd60e0e3a5c3d28c085cab88c576

Pith citing papers

No inbound Pith citation observations are available.