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Paper Citation Record · LEDGER

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model

As of 19 August 2026, this Paper Citation Record lists 46 of 46 outbound references and 0 inbound Pith citation observations for arXiv:2608.03566.

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

pith.paper-citation-record.v1
2608.03566 v1

Coverage vector

measured 46 of 46 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T16:49:20.896023Z

measured 46 of 46 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+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 exact2
  • verified fuzzy24
  • unresolved20
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1508f47d-5497-45fb-858a-0c62736dfd5c · outbound

This paper cites HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model HDDM: Hierarchical Bayesian estimation of the drift-diffusion model in

Reference 1

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:15.425910Z digest=sha256:9cc88a6181e73a411f3a1869c52d1bbb6c684c4cd5898e41435ed4b6c35a5cb9

Observation 2f3251d6-0b58-4662-aa68-3dd998268841 · outbound

This paper cites Frontiers in Psychology , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Frontiers in Psychology , volume=

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:30.515056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:15.543151Z digest=sha256:94e157aafaf4be11ba861fb64ba37a08abeb58fbf92940d49d9a082b91b2181a

Observation 878e3d83-ce7b-468e-8158-7e5b8032ba1d · outbound

This paper cites , author=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model , author=

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:30.226026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:15.712105Z digest=sha256:93677c8cff31156620b9ceaa816e6f632c3e65e3f42a153f21ca7a98fb128cfc

Observation afb01ef0-fb04-442a-97db-5d410db9c1e9 · outbound

This paper cites OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model OpenAlex: A fully-open index of scholarly works, authors, venues, institutions, and concepts

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:15.846136Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:15.846136Z digest=sha256:610e5b575d780538fc0d5137a8fa922496b8c24ee463fd1e671251cdeff63326

Observation c9913711-7d43-4b3f-9527-fc0ecd98cf08 · outbound

This paper cites Frontiers in Psychology , author =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Frontiers in Psychology , author =

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:15.993142Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:15.993142Z digest=sha256:007d8d66d5f74e732cec6ee1bbdf60788f1642673ca0dfc0455d5440dbcc4350

Observation 2e24cc2a-4dfb-418d-ae22-2eb68c647323 · outbound

This paper cites Frontiers in Computational Neuroscience , volume =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Frontiers in Computational Neuroscience , volume =

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:29.867424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.055175Z digest=sha256:556eb71be420910b221ee01a4beabf15d5cb88c1e6055abf81756e81e5bd96bc

Observation 2637fed7-2fcb-45ad-bcc8-2a97d9b20a3d · outbound

This paper cites Psychonomic Bulletin & Review , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Psychonomic Bulletin & Review , volume=

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:29.675244Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.133525Z digest=sha256:5609c76d7afb7e9282a9dba4ceeaa1512e5c309683cd461c13fd964b38d38778

Observation 0de6a6ee-2c07-4e5a-ae0f-d66f3394f4e5 · outbound

This paper cites Psychonomic Bulletin & Review , author =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Psychonomic Bulletin & Review , author =

Reference 8

Resolution
verified exact
doi, observed 2026-08-05T16:49:21.273275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.195956Z digest=sha256:ce93b7f23e30a0857845b39142e9f96b2f2546cbc45827d6bf256395f719a8e6

Observation 915da898-f53a-4df9-9247-ca275373fbe6 · outbound

This paper cites Behavior Research Methods , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Behavior Research Methods , volume=

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:29.408982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.320002Z digest=sha256:67ba97ca17cfe5ada404ca7c24cb695558465abd927889b282dc57acba00758a

Observation f2ee9075-d6c2-4f2f-b897-9f941b6af2dd · outbound

This paper cites Charles , title =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Charles , title =

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:29.078174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.489293Z digest=sha256:f403ec01473fbb55cb1e23210aab5f8e00ef1dc7b955b670e549c919e4c064ec

Observation 5497a852-f61a-4534-b293-8bb9f204cf9c · outbound

This paper cites Nature Human Behaviour , author =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Nature Human Behaviour , author =

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:16.567476Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:16.567476Z digest=sha256:49bc5974cddefb1b6d086fb0709efb28cc75b55f85182e1c89f7ed6382dada07

Observation a402d76c-5704-464d-a242-81e9ad4204c2 · outbound

This paper cites an unresolved cited work.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:49:28.806415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.639599Z digest=sha256:b71fb901e6fda527175bb22ae20ae9e65ec0dacefe4133ffd001ed18ad45b44d

Observation fffab347-30c9-4b62-bd75-92b2b0f863b1 · outbound

This paper cites Journal of Mathematical Psychology , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Journal of Mathematical Psychology , volume=

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:28.486431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.737601Z digest=sha256:e8d35f946bfe946990bd00f65f83fffb10a427f2035c985ee5e67ccb9895b1a7

Observation 9bf18686-5750-4bad-b6f7-4bd1da967251 · outbound

This paper cites and Schmitt, Marvin and Schumacher, Lukas and Elsemüller, Lasse and Pratz, Valentin and Schälte, Yannik and Köthe, Ullrich and Bürkner, Paul-Christian , doi =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model and Schmitt, Marvin and Schumacher, Lukas and Elsemüller, Lasse and Pratz, Valentin and Schälte, Yannik and Köthe, Ullrich and Bürkner, Paul-Christian , doi =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:28.233422Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.869331Z digest=sha256:79109637ba8ff5649216839627109003e2638bc0e1c541c67b2a6c2fd4880fd4

Observation c8e9299f-a888-4417-a161-ddea816eac04 · outbound

This paper cites eLife , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model eLife , volume=

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:27.869833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.994750Z digest=sha256:8eedd1d56b47a7a03f1065fb822eea3fc29c22af74225330ff4e112f354882e3

Observation 0e047b9e-f157-4ba2-a2b4-a9f6190a159d · outbound

This paper cites BayesFlow: Learning complex stochastic models with invertible neural networks.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model BayesFlow: Learning complex stochastic models with invertible neural networks

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:17.168293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:17.168293Z digest=sha256:560319dee605dcf48e2838b4da879a4c720626abc25a22aef900048ef90d4720

Observation 2a9b96e4-2a0f-4b8a-8af5-f2d22c698d33 · outbound

This paper cites Statistica Sinica , pages=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Statistica Sinica , pages=

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:17.315009Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:17.315009Z digest=sha256:bdace480b3a81eaba421429636d2f0393af0098c4a61566582d84963519f8544

Observation 13d9b5ef-86a7-4026-b0df-ec2756e0c275 · outbound

This paper cites Annual Review of Statistics and Its Application , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Annual Review of Statistics and Its Application , volume=

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:17.433243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:17.433243Z digest=sha256:705d2997c5afb8d0c5563a44a4d27290583c0f406ebd2e235bc0067dd8be4478

Observation e004140e-1f43-4ab1-81ce-18eceb3d0abd · outbound

This paper cites Frontiers in Psychology , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Frontiers in Psychology , volume=

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:27.524742Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:17.513087Z digest=sha256:7813e512cc5fde8acb8b5f19e1adb87296ff1151327ad5674a038454cf548fb6

Observation 58a190bb-9350-44c8-a545-3930238a368a · outbound

This paper cites Behavior Research Methods , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Behavior Research Methods , volume=

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:27.264642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:17.584753Z digest=sha256:a5fbb50d4eb66b6970e0f03f3e46eaf9f613165676faedde452112a895c7df03

Observation 9606c5c5-6902-495f-b6a0-a97e1a97faae · outbound

This paper cites Neural Networks , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Neural Networks , volume=

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:17.719808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:17.719808Z digest=sha256:8d3c135062a7d877f256e0d86cf423b159c9af24cbee8718f23734598bcb79fe

Observation e36c39d1-2b82-4eff-843a-666fe9b1c4d0 · outbound

This paper cites Neural Networks , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Neural Networks , volume=

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:17.875078Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:17.875078Z digest=sha256:817e23ee416783b685d730bd08d506a1329cd83ca4cafad8af21869e261106a7

Observation 995b8d75-f512-4692-84b2-0cd53440d281 · outbound

This paper cites IEEE Transactions on Neural Networks and Learning Systems , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model IEEE Transactions on Neural Networks and Learning Systems , volume=

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:26.966384Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.031424Z digest=sha256:47c7063334d860eda9d17154461628da49fc7fa1c7ce4fab2ca186a53596746e

Observation 22a48eaa-27d7-49ea-a4e3-58341bedf143 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model IEEE Transactions on Pattern Analysis and Machine Intelligence , volume=

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:26.595421Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.123519Z digest=sha256:87eee860794e0949f2c7d74e7929e6562d535a49a4ef5d6058d80d7d691f7196

Observation c1d86c68-0ca0-41a2-b1e0-851d5c206747 · outbound

This paper cites 2022 , booktitle=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model 2022 , booktitle=

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:26.303221Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.200131Z digest=sha256:bb07f89a65cd08b4a71a7ca8189b54476aa1f2e947c98089292eacf4a56d4ee1

Observation 1b3deaef-e0b1-495b-8058-8348aa225466 · outbound

This paper cites ACM Computing Surveys , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model ACM Computing Surveys , volume=

Reference 26

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unresolved
no resolver link, observed 2026-08-05T16:49:18.261024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:18.261024Z digest=sha256:68394eb853fa2e4d0ec3a0fb8d626c04d981e4e546cccef7f421b825e42875bd

Observation 6d0ef76e-de6c-49df-bc07-a9a8b356446c · outbound

This paper cites The Annals of Mathematical Statistics , author =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model The Annals of Mathematical Statistics , author =

Reference 27

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unresolved
no resolver link, observed 2026-08-05T16:49:18.359616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:18.359616Z digest=sha256:4f06c79041ae96f1f62f7082e0d7e20742425708c7ec698da88237b53c862a16

Observation 0558d937-4d86-4da8-941f-9fd69631a472 · outbound

This paper cites Dagm german conference on pattern recognition , pages=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Dagm german conference on pattern recognition , pages=

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:26.008426Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.466602Z digest=sha256:7f6b0c97f349f98e25493ffb8f5ac4be9cefd2fa610975cf2d901b4d611fd1d3

Observation 114d808f-741f-4fb8-9d38-52acfb99c144 · outbound

This paper cites Statistical Science , author =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Statistical Science , author =

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:18.577049Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:18.577049Z digest=sha256:88207a8828870960cda733cc31119bced0cf6727d441dd1202e172d3cdd33fbb

Observation c7fff07a-7a0f-4de5-b7c9-0cbc0ffab340 · outbound

This paper cites Psychological Science , author =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Psychological Science , author =

Reference 30

Resolution
verified exact
raw_fallback, observed 2026-08-05T16:49:21.925432Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.704424Z digest=sha256:92cbcc9b7dadc90046d205c5b1e3d54f5d2ae9080ebf18a9f95919e1548a967f

Observation 19f2bc91-b68f-4508-9703-0d972adac61c · outbound

This paper cites Reanalysis of.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Reanalysis of

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:25.707091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.773159Z digest=sha256:c7d543323e1ae908b98ddd90d7a5edd1fb1c194d93e57809a8dd5567202b5e0d

Observation d81ab4ee-5218-4b0e-8a8d-151fb781be72 · outbound

This paper cites 2022 , note =.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model 2022 , note =

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:25.400056Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.925304Z digest=sha256:de8ca14491eeab63e514d75e06e83a5f6fbd4a831de85bababf1547df692a362

Observation 363abd04-09af-479d-b632-f15e1d08ade7 · outbound

This paper cites Rank-normalization, Folding, and Localization: An Improved.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Rank-normalization, Folding, and Localization: An Improved

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:25.072755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:19.094207Z digest=sha256:3dcffec1aa318b4f87f72e18e084d8641fbeb11057c1b11e1864286339ee76bd

Observation 236189d0-87d5-4c67-b4d8-e1c51542aea4 · outbound

This paper cites arXiv preprint arXiv:2602.07098 , year=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model arXiv preprint arXiv:2602.07098 , year=

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:19.244746Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:19.244746Z digest=sha256:68c5a61ef136913951a27e715239bd0ae6ba381d214d1e0847e30b5e79b3b0b5

Observation e437e11a-2062-46a5-861b-e3bff3df544e · outbound

This paper cites Big Data and Information Theory , pages=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Big Data and Information Theory , pages=

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:24.730522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:19.379331Z digest=sha256:9cd6ad7ba98b552baf14acd6fac2d0a86164317679a84626badede6fba14e944

Observation d8f9a472-5eb0-4d1f-b132-ceae337e980e · outbound

This paper cites The Annals of Mathematical Statistics , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model The Annals of Mathematical Statistics , volume=

Reference 36

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cd225db6-2ae3-4c38-a546-4cbc1c7bdf20 · outbound

This paper cites an unresolved cited work.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:49:23.972414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation aa6576f6-6f70-43a9-90ce-5f86e3d2d404 · outbound

This paper cites Statistica Sinica , pages=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Statistica Sinica , pages=

Reference 38

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 322d79e8-9b24-4f32-9e3e-faddb77b9c40 · outbound

This paper cites Statistica Sinica , pages=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Statistica Sinica , pages=

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:23.319084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation c21800eb-2c14-4d50-8c40-28ee42132334 · outbound

This paper cites an unresolved cited work.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Unresolved cited work

Reference 40

Resolution
unresolved
raw_fallback, observed 2026-08-05T16:49:23.048546Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation cd065a13-1640-43f9-85d0-ec2f147e0177 · outbound

This paper cites 2005 , publisher=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model 2005 , publisher=

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T16:49:22.704746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-08-05T16:49:20.194913Z digest=sha256:aab4c7bcadc11e23a20ccc19c24d59714a4ef0929fcaa9521abd9d3ec7db06fc

Observation 75797959-d828-4074-8c97-083648a6b5f2 · outbound

This paper cites Wiley Interdisciplinary Reviews: Computational Statistics , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Wiley Interdisciplinary Reviews: Computational Statistics , volume=

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:20.297128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:20.297128Z digest=sha256:9cff4748d7bc0468c9c131b6048d7486d1e045a2fb701580283c9a1935761796

Observation 1e0a3912-6989-4bf5-83c1-3fb7d2945f84 · outbound

This paper cites The Statistical Accuracy of Neural Posterior and Likelihood Estimation.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model The Statistical Accuracy of Neural Posterior and Likelihood Estimation

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:20.381824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:20.381824Z digest=sha256:2f7e17d7b83be55be17b3a884b413a60b559917dd0e586ea9fa62168c6455f60

Observation 2f5bb5d5-e7b0-47e1-b84d-9415747b4a97 · outbound

This paper cites 2012 , publisher=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model 2012 , publisher=

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:20.563617Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:20.563617Z digest=sha256:1c48bc0b46acb04f2e46507073854b97b9165fa9443b70a92f59c99bbc0e5011

Observation c3971544-d9a1-494c-b4b4-8842d9bae40e · outbound

This paper cites Asymptotically Exact, Embarrassingly Parallel MCMC.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Asymptotically Exact, Embarrassingly Parallel MCMC

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:20.678970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:20.678970Z digest=sha256:62a271f433384ab9ccfcf74790e58ee4150140cd0c135100120fb09b6293c844

Observation d8430c90-85e7-49e6-99e1-f25ff44eb912 · outbound

This paper cites Statistics and Computing , volume=.

Divide-and-Conquer: Towards Generalizable Amortized Bayesian Inference for the Drift Diffusion Model Statistics and Computing , volume=

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T16:49:20.896023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T16:49:20.896023Z digest=sha256:a9332dfbb041d0069d5dc2c67b731a37b0d2aa3fa64cbcfcc2365d4be8870270

Pith citing papers

No inbound Pith citation observations are available.