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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:b4ecc5ad9c7ee8a1f5313edc2763a872e1bb772c43c03565e1900977e355bcde

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=sha256:1adeba7226f9045ea2119604c074bd45c703c34d09cfe0e0eb05bb31d605c51d

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=sha256:1987df4a634fbb7df76de8c751ed3cbb45b7bc0666433e19a9f8ee50dfe15df6

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=sha256:8bb688224f04d039cd2235ac92c60321ede41e3331ef9ed5026cb3b99bcaeb40

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=sha256:66a06b498980c14a03ad061e6b4aad3b372e9a1941d7559a1d5fc80e15475fe8

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=sha256:15edcaf872856031426fd8f251bc07a9bab1682166c8b2dfa125dd55c2afd562

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:a983084eca6748a4dd54846d7769352a243101d53f84488df36f1a451556d813

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:fc2caab328bf755ced8dbd62381d6c5b4a030a3319fa7540f0406b7836d0c08e

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:d779bf0b0c669d80498115584e8ae2cbc8b3fb3be6e9dfd9fc0673ab73b43b37

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=sha256:832e82bb4ed5b3cc36233877e70679bcce2b1d479352f463ead75dacc4b42145

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=sha256:65c8d1d0a49be8d20d87d7186498c073d4e1ef5258bc1dcaaf4e6f95285f6ce5

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=sha256:73ac45dce37db49cdfdb862400851995e675e1609c32a284b0953ffeae2e390f

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=sha256:0587b40794e12cae979ad8565426dbffe61f731f58c7663caea834a3a37c62a1

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=sha256:20a2ba7eeec124be5034b2af844033e655e94e0db78433e5537e2cb5b11984ec

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=sha256:9dff10397c77175a80496e7578eab81d4980a3eaa99aea5c5947517b8832f48e

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=sha256:5a87235962070c7c6c56c3ce4e984f0cea335b065be0c388cee2e1faf72426fd

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=sha256:67d9d21df964e4344796b230a57268ed7d4109acb93e856032efc94de76102c1

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=sha256:51f29f8b3857498ec5b77e4d479a80f08f918e5d96ca996883b7bd857c32bf75

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=sha256:20f2447011f914a6409c30513d586de73388b854d62b38742c59b30317a02524

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=sha256:51e57cfb2a3669b60d1d1f2479ccb7c6fb0577f7e4177fd0806deb80c20e1bc7

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=sha256:5bdc9df3081b203fe62ee24b9c49daa94651f839cb7b3ab290af70188c16de9b

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=sha256:03717b213ee6c3a483021e9f7c51c4b0976bec9d333761d70f5648ac4a1229ba

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=sha256:9ec6fd9972169700e861dc448a4065c555feac4f9edf6c7f8d8201028ca56f70

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:a5777989985f727c8fcb6a2fcf72f7686651e04311a7bb7d7e6aba04299f4163

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=sha256:2de20cd9da6faa7314a4ea35ee4d77fd9cd4dbebe1f0103e1330af079e1e0251

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:f31303bf7eff735dc6f9ee4dfc3b5fc4c4a4d94b9c2378aff5d3c3cae5288fce

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=sha256:821bc736c97f5091c7de4aeb8cd0d198b5505bbebf08b1c5065a0b57413267a4

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:d15d7394072d468da66929bd476d4f6207c3ebc518ec04a0e276460f4e73bd6a

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=sha256:33f97b7109d3c63ce53693f13a949e175c0103dc1300dd748375a308cead2972

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=sha256:0e191a9327be9499be4d8e01c173dbf0da5b19616ca534224bfb73c9c2fb3dda

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:f6af94072d110a5a305078ddd57d0bdea62f54b278e950faff4507600b988bd1

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:d4be73507b66dce7b0ee7c5bf841b5738f043180d1f4a57df7abe8e71ed18fda

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=sha256:5b3c8a8f49d5c974fc677a6693d0502d6c80fa32d50681b91fc694fc6377c19d

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=sha256:83874ce2aeed8844bad496587a422d8336e8021e5afd1f5dadb09b3c1d1ba894

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:f53435220b89733b1d3f8550d5fd0481076a34cfafdcd2fbfbdce91761f9e000

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=sha256:23d647cdc0853a5859be6c1c5f9364913eff20da7be59a61a85028b9fb8854aa

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:c785a7ec3cbbdd2f7549da1df265c3404f5e15889e09cc3c6821a2a12abc1a77

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=sha256:10b951ddab6acbafef7df614dd4044745573ac75f9d37b93697ce278221d0131

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=sha256:5f840d64cdebc4ac1025d9a460cd2530f20c38bf26782310c3129392f3fba0a5

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=sha256:6329dc753c308f27c6386855d06e8ded1e0fdf08958eeadbdd6a9ce9012df12f

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=sha256:25bd282b4284a6e9ea8fcfb9b14a6647d8ad904b52afd71f74c5d0f667d8d576

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=sha256:7802df1dccc3d8dfe400eac213fcd652d50e2f21952e1003deb7a6d3eb9b0927

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=sha256:00579ebc7fc8033b807d812c9c14b60937c8dd0ad1a7dc95fd2e16d27d7ac919

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=sha256:2e2d27f3bd442ca18a97a7be55df6de03750732a041a1fb57bfd19ee53bd2374

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=sha256:4689a3c421e0e4c14a56bdd8af53eef9509d286dd14ea4f62f3ecd35a4c7bc57

Pith citing papers

No inbound Pith citation observations are available.