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Paper Citation Record · LEDGER

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

As of 7 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 2026-08-07T06:34:17.273281+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

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
raw_fallback, observed 2026-08-05T16:49:30.723645Z

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=arxiv_source observed=2026-08-05T16:49:15.425910Z digest=sha256:16de5356f5ff0bbfcef10f843df9621411f67c6618f1f0b01c4a5591d8d39c36

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:15.543151Z digest=sha256:80711e9bc4d85142c46f20c2c4e81a87f6c4d2e718a29e8ad94491c6a373669f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:15.712105Z digest=sha256:e5b46658f8cab1bef9f4f32e6282536b315f46fdede3695c5d145d2e8ab1ce71

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=sha256:3657ed9df9d9e04bc04ec6cd5e4a34b5de4b24581a3154e76c1fbe800e797aac

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=sha256:4fd8975e6b54143e6110840c28b4269bd09048755b7e955534f8d4658366f681

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.055175Z digest=sha256:42ab0619a4985c23eaa1a756a51f27991700ccb24b82ba934b630ee606e2a861

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.133525Z digest=sha256:a94b4eff4a2be5dfc2327ffe676d38119a7e2ea77db8d627aba2b5caac136d6d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.195956Z digest=sha256:da89851aa67cd2fab8e65073649f697465b3e83f4eb1ffd9bccff71084a1e722

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.320002Z digest=sha256:078710fe86b91194e8ee75c6401f55f64cbba5d0c8b407c5753d2319d4d1a3cc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.489293Z digest=sha256:cd887d171ddb09817c2a41a23bc1647c8c0fa94a17b6d9aec254d409034b5dbd

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:aba786a6c698616fd60a604c9600f19965e4b1ee726730fa8cfcff9d312fd0c4

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.639599Z digest=sha256:f2d45348d51728db7d8fe8bcd345ad75eac8a0ecf012b61eecd52bea760f74a1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.737601Z digest=sha256:f4fcd1bd0bf6134d649e32309f7ee4d39c6e7ea5f620f9a7e31d847e2ff72a0d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.869331Z digest=sha256:8c24b4f9566ed7f070e11660e5fa563e0e1d1dbd0b28917803df00b04a63319a

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:16.994750Z digest=sha256:f617038c60fd3c2c2344abd4dff36a5dfbd928839030d0cc16b629d111fe3a92

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:ed4529cd26f80b29ba170fc8035cbb5eee85a3eee11f63bc82277924d2cd5688

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:f57e0847d355cff7e875cf021cc7348d2750d40962cfb7c7d96f287dd6da1ca2

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=sha256:75c864074b58de0c49e0cf2bcb33e06209c32733575074996d2e1f552bfa46bc

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:17.513087Z digest=sha256:5acb88f6444e362783abe54f3a330af9226a5c43a5f215c08e288e52e4b7b712

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:17.584753Z digest=sha256:99f57bdf90d4e0b0a35b3cafb1aed5e3ae1171bf4569ea45b43c7808ae30f092

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=sha256:87c7a4700ad03683b3973e532295f0f910cced1bd3ca5080e2cc84f01dd5866b

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:aef9cae5e1807cdc01ea970a410b36d6ba17b02f6c9d9f98ec7c54f55c128def

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.031424Z digest=sha256:a8ad3581b7714a7e1f51b7894901d943d3cd7649de3da17ee9ea55c5bcdf84e0

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.123519Z digest=sha256:3f97fef6e094f4a2e1e2329f24ef95a605335fcf4cb4f4003ee9209b0f2abc6f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.200131Z digest=sha256:f9922e7e6f34284613ac391c9b7b4f2166633fdd6a3189296d1902388badd6d1

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

Resolution
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=sha256:19aac02ac063de14866195d942d1705225d0b6bee67bb385a3c8ab9d74de125d

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

Resolution
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:f18f3a13bfd814b0b5dc0068282ed3cd5e2002f6fb55db40de66b3fc09061d3f

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.466602Z digest=sha256:6464e37db3c24080d1b8dcb02ed36a18b84c79a8b374b0c8ee00116cd3620c95

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:afbb593e9c5287624b3070f4de82aef556eaf328782edd52d7c83c1950666847

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.704424Z digest=sha256:14f198f5c081e873f4de5339a1b708ad821a6236f172031d9ed82dbce95577c1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.773159Z digest=sha256:64f98b50fc97dbfed74636bbf9740f3e2ed4f6ce77988207b39d01e9a87a2e19

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:18.925304Z digest=sha256:139a2b25b491033d0a48236afe7f469c41cc110cb47d0ce0432aa95641cb69ef

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:19.094207Z digest=sha256:896deceabf2216d727c8d94afeeda08d2f4dc607af0c1d6b380d2baf276a8346

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:c1e511eae38c10795918af1b78a38452236deddd2050b02b719d42a97a7c133d

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:19.379331Z digest=sha256:292f89d199c4dbd9a58bb2f663db38f826d303db955c80dd8599e25f24c1eaea

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
raw_fallback, observed 2026-08-05T16:49:24.324424Z

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=arxiv_source observed=2026-08-05T16:49:19.494736Z digest=sha256:b085d1ad59bf977ffda439ec13b9cb51adadecb75a9bef101c6a9d2a6b10daf1

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 2026-08-07T06:34:17.273281+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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:19.764760Z digest=sha256:ba1820bf50e6869cd992a171ea182447b4704dfe88c221f4572c66650b538b8e

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:19.922426Z digest=sha256:1d5939c35bf6b95c1f79ca99d3be59291fb83c22e5af2439639aa092dd7d2bf1

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:20.038199Z digest=sha256:35d478c677d2fa167acc53b3e701dcde976c7bca2cec293b8d7fcf88a381b6b7

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 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-08-05T16:49:20.194913Z digest=sha256:6df9f02acde758d21c81d31019a88f182ace2f295d699c800031d34ec7c9c1c6

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=sha256:22ed9b5c229a71a9ab8314f2a8dca89f77efb2511480a107cae382d8473e6a2a

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:b231ef12a239b352e544d378a15b96abec3f23a195992467c4a0b2aba68be77e

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:a0162da3c20cd2a71579522a990d26a44d0a3297a6594a067dec10bd1b913bfa

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:d273ed4b11c2aff215c329cd4b92aacb7c18151213ee67d8751b22e6183f53d3

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:cefe7896c20c7ff0a587ecb32d024e9f78ddbb9c533f554a73637addcd4c855c

Pith citing papers

No inbound Pith citation observations are available.