Paper Citation Record · LEDGER

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction

As of 22 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2504.18562.

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

pith.paper-citation-record.v1
2504.18562 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:46:25.794425Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

46 of 46 outbound references displayed

verified exact6
verified fuzzy18
unresolved20
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 884d6fb3-baf5-47f3-85ba-3b07ecb6590a · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 1

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Observation 5d31a350-2efc-424a-93c4-72590f709a26 · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 2

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Observation 4f78402f-2b46-43c8-8dee-d7ce1d4ade4a · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 3

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Observation 15f173de-04e0-407b-a12b-a24daf73eaa1 · outbound

This paper cites Cortez and A.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Cortez and A

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.677582Z

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Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 5

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Observation f1011456-3326-4dc7-b9fe-2fcdf9c2005e · outbound

This paper cites Zhang, M.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Zhang, M

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.649466Z

Source-reported events for the cited work

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Observation 477d22d7-4452-42bc-b7b4-4dbc9bde00c3 · outbound

This paper cites Radke, A.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Radke, A

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.635262Z

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Observation 5144b0c5-11f3-4c35-be45-d65909dcd2c0 · outbound

This paper cites Lahrichi, K.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Lahrichi, K

Reference 8

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Observation 0cbfe77c-a951-47f8-8a18-599e58725887 · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 9

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.621379Z

Source-reported events for the cited work

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Observation 30a8cb10-b916-4b55-8450-f5f8c6e3a5eb · outbound

This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T11:46:25.637395Z

Source-reported events for the cited work

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Observation aa6b87a1-b060-4397-9fcf-9962dc4731b5 · outbound

This paper cites Parallel Multi-path Feed Forward Neural Networks (PMFFNN) for Long Columnar Datasets: A Novel Approach to Complexity Reduction.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Parallel Multi-path Feed Forward Neural Networks (PMFFNN) for Long Columnar Datasets: A Novel Approach to Complexity Reduction

Reference 11

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:46:26.171814Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 575ed116-6de2-4904-972a-bf548e036f50 · outbound

This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.607011Z

Source-reported events for the cited work

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Observation 83a326c7-9390-4fe2-9cc1-37744c44c30f · outbound

This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 13

Resolution: verified exact; raw_fallback, observed 2026-08-16T11:46:26.149749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7e6a6048-4eeb-4da2-9c13-ba73c9b32338 · outbound

This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.593911Z

Source-reported events for the cited work

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Observation 5bff1044-2fb4-42c1-8267-3952cbaa9190 · outbound

This paper cites Rogers, O.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Rogers, O

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.580920Z

Source-reported events for the cited work

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Observation 443ef5f6-4870-4958-a22e-3391b4425b30 · outbound

This paper cites BERTnesia: Investigating the capture and forgetting of knowledge in BERT.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction BERTnesia: Investigating the capture and forgetting of knowledge in BERT

Reference 16

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Source-reported events for the cited work

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Observation d6658948-a235-4848-9876-510fb0160eca · outbound

This paper cites Tenney, D.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Tenney, D

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.567714Z

Source-reported events for the cited work

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Observation 2a4cbb75-dd4d-4cce-9778-ad817373f90e · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.554298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b9da1083-29a2-4227-a441-77215542fc24 · outbound

This paper cites Do Vision Transformers See Like Convolutional Neural Networks?.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Do Vision Transformers See Like Convolutional Neural Networks?

Reference 19

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Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.541045Z

Source-reported events for the cited work

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Observation c67fa12d-68ba-4c14-9586-bf0440ceb8f9 · outbound

This paper cites Effective-one-body formalism for leading-order radiative effects in the post-linear framework.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Effective-one-body formalism for leading-order radiative effects in the post-linear framework

Reference 21

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Source-reported events for the cited work

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Observation 36c2fb1e-d606-4257-a5a4-2a688b757336 · outbound

This paper cites ST-MoE: Designing Stable and Transferable Sparse Expert Models.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction ST-MoE: Designing Stable and Transferable Sparse Expert Models

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 23

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.527484Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 82fd5010-b53e-4ca4-8001-c73e8a350fa7 · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 24

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.513953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 518dbd03-5dc0-4f96-9524-6189567f1484 · outbound

This paper cites Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Decomposing a Recurrent Neural Network into Modules for Enabling Reusability and Replacement

Reference 25

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:46:26.023037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d8e1f44d-0ae8-4eb6-a81f-2aab7ee522e6 · outbound

This paper cites Andreas, M.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Andreas, M

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.499985Z

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Observation dd55a836-3f22-41e9-8789-8d13a1cb839d · outbound

This paper cites Transfer Learning of Tabular Data by Finetuning Large Language Models.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Transfer Learning of Tabular Data by Finetuning Large Language Models

Reference 27

Resolution: verified exact; local_arxiv, observed 2026-08-16T11:46:26.002436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 1b16a0f8-44b1-485d-ac3d-92c452ad2a8b · outbound

This paper cites Houlsby, A.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Houlsby, A

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.486151Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ee1b0a7a-8871-4038-a7c9-447b0f8ecb5c · outbound

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Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.472180Z

Source-reported events for the cited work

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Observation 0f10f13a-90df-448b-b90d-a67ab4e2d650 · outbound

This paper cites Chuvieco, I.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Chuvieco, I

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.458533Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d52e6f49-b5c2-4659-b699-c6ed270f4d05 · outbound

This paper cites Brown et al., ‘‘Language Models are Few-Shot Learners,’’ in Advances in Neural Information Processing Systems , vol.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Brown et al., ‘‘Language Models are Few-Shot Learners,’’ in Advances in Neural Information Processing Systems , vol

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.445130Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ed8674b1-9257-4d75-8bd2-3c086b00e84d · outbound

This paper cites Emergent Abilities of Large Language Models.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Emergent Abilities of Large Language Models

Reference 32

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Source-reported events for the cited work

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Observation 5db815ae-257f-429b-ad54-d2c7993d01df · outbound

This paper cites V aswaniet al., ‘‘Attention Is All Y ou Need,’’ inProc.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction V aswaniet al., ‘‘Attention Is All Y ou Need,’’ inProc

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.431062Z

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No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d5d654d5-5823-45cc-b7da-bcdad14fab23 · outbound

This paper cites Devlin, M.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Devlin, M

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.415951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 08daaa2b-f6a0-4cc6-81b9-5c68d74646b1 · outbound

This paper cites Huang, J.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Huang, J

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.401956Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d765507d-a61c-4052-a9d5-c86449bc026e · outbound

This paper cites Gemma 3 Technical Report.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Gemma 3 Technical Report

Reference 36

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Source-reported events for the cited work

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This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a8081f8a-690c-4ad2-a4ba-5bd6cd50db15 · outbound

This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 38

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Source-reported events for the cited work

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Observation a112b27d-f7dc-422b-af41-bb7632354637 · outbound

This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.387990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7fd2a3ce-8229-418b-9f2a-dcbb6cf31455 · outbound

This paper cites Jadouli and C.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Jadouli and C

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.373254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 05c8d43f-b6cb-4287-bd38-92b96dc81800 · outbound

This paper cites INTERNAL WORLD.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction INTERNAL WORLD

Reference 41

Resolution: malformed identifier; no resolver link, observed 2026-08-16T11:46:25.772130Z

Source-reported events for the cited work

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Observation 7d99d861-ad93-4541-baef-cfb07a495654 · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 42

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.357960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 559ab28f-b754-4922-9b4d-9f2c886ea26f · outbound

This paper cites Figure 14.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Figure 14

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.343403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d14ef62b-1a76-4a33-b40f-e2095e512131 · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.329788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8664e86a-7a40-404e-a886-23e3f2c175dd · outbound

This paper cites an unresolved cited work.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction Unresolved cited work

Reference 45

Resolution: unresolved; raw_fallback, observed 2026-08-16T11:46:26.315781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ebd58ce7-d53c-4f02-bb0e-909ffca495ef · outbound

This paper cites The entire workflow—from raw data ingestion and branch projection to probability output—forms the backbone of the experimental pipeline evaluated in Section IV.

Deep Learning with Pretrained 'Internal World' Layers: A Gemma 3-Based Modular Architecture for Wildfire Prediction The entire workflow—from raw data ingestion and branch projection to probability output—forms the backbone of the experimental pipeline evaluated in Section IV

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T11:46:26.301407Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

No inbound Pith citation observations are available.