Pith. sign in

Paper Citation Record · LEDGER

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection

As of 13 August 2026, this Paper Citation Record lists 100 of 111 outbound references and 1 inbound Pith citation observation for arXiv:2501.16718.

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

pith.paper-citation-record.v1
2501.16718 v2

Coverage vector

measured 100 of 111 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T11:19:17.993825Z

measured 101 of 101 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-13T02:13:21.564887Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-05-13T02:17:06.693262Z

Reference resolution

100 of 111 outbound references displayed

  • verified exact1
  • verified fuzzy59
  • unresolved40
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 770a2953-5daf-4920-b90d-b6fc88979e73 · outbound

This paper cites write newline.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.537560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.537560Z digest=sha256:2c0f2e03ffa56c7f6580f394c910cdca30a9c3c7b1455c6166d1f5997df93876

Observation f257b5f1-5dc2-46e7-bb85-df520d891fb8 · outbound

This paper cites an unresolved cited work.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Unresolved cited work

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.543530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.543530Z digest=sha256:4eee1d5cc7eb8576dbe14a5cf3617dab9027e107bba381c35c2d3d442701caa0

Observation 04dc2c5f-306c-4b4e-a1dc-a93b132a35dd · outbound

This paper cites Deep nearest neighbor anomaly detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep nearest neighbor anomaly detection

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.547370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.547370Z digest=sha256:e1f0225f283037900a6c57dfbff2a8627e648c9c65abc8095a07620348238dd4

Observation f4120b61-a10c-434a-b77a-42cd0781e851 · outbound

This paper cites representations of knowledge in complex systems.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection representations of knowledge in complex systems

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.551550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.551550Z digest=sha256:fd9d16d05230241b489d64417e1d5bd535c5259433842d475bb4312a3d289a84

Observation 2843aa4a-0f9c-4cab-ab39-fa9b3db46ffb · outbound

This paper cites On the Opportunities and Risks of Foundation Models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the Opportunities and Risks of Foundation Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.555204Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.555204Z digest=sha256:28c3dc6e081d88e0173825a5fb66d7557c3dc39375a5374695026a58ca676f44

Observation f7625607-bf2f-46a9-815e-3310fdb03f16 · outbound

This paper cites Large-scale machine learning with stochastic gradient descent.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Large-scale machine learning with stochastic gradient descent

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.559205Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.559205Z digest=sha256:9bf676d13c76829c8783bd0a8e77ec1fda4b8006e5765fb0d7966da118c74142

Observation ef47b5a0-709a-436b-bf90-30447a06eae4 · outbound

This paper cites Split-ensemble: Efficient ood-aware ensemble via task and model splitting.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Split-ensemble: Efficient ood-aware ensemble via task and model splitting

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.564878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.564878Z digest=sha256:91b7f6cc5e199d44c8cd68e4de474c4db5bb9b605786df664c88d147c055b68f

Observation 37078ffd-3e74-4b36-a1df-f13940a69a5b · outbound

This paper cites Tagfog: Textual anchor guidance and fake outlier generation for visual out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Tagfog: Textual anchor guidance and fake outlier generation for visual out-of-distribution detection

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.569911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.569911Z digest=sha256:065303eaec67fa812ba2c2fe14a4d0443f7027330cb1651bcc31c9cfb2f6368f

Observation 11fefb27-8778-4de1-ba2c-4b2eabb83e69 · outbound

This paper cites Atom: Robustifying out-of-distribution detection using outlier mining.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Atom: Robustifying out-of-distribution detection using outlier mining

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.574754Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.574754Z digest=sha256:661ab6a2ee0a11ad17a2d155605a0c263440b158c847425a29d67fa6387e12f3

Observation c9e77ac1-e3fe-4e33-ab38-1dc7c072705c · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection A simple framework for contrastive learning of visual representations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.578946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.578946Z digest=sha256:b02356954ba69711831fde28301400803778d6852699297c3610284f8c7419be

Observation d656491e-f432-42b5-b5c5-899a97805bb1 · outbound

This paper cites Cimpoi, S.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Cimpoi, S

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.583292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.583292Z digest=sha256:8c7724f9eade99956986558b951e7d6b55cb21e2ab84a7252767972733850598

Observation e7e0cd10-82b4-4b73-a0cd-521d4896541f · outbound

This paper cites Distance-based k-nearest neighbors outlier detection method in large-scale traffic data.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Distance-based k-nearest neighbors outlier detection method in large-scale traffic data

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.587214Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.587214Z digest=sha256:5286c2bcd743ab238bdd0eebfcf2493aed9bbfd7ee0eefcb05a84d4f39abb90b

Observation 0baf2255-1d40-4d11-9888-b1abc5ff69bc · outbound

This paper cites The relationship between precision-recall and roc curves.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection The relationship between precision-recall and roc curves

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.593341Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.593341Z digest=sha256:d5d8c052d243fcf0f7c6fdcc02a3b7a2871c966c599fd30901c052160e1b5e05

Observation 2932d9f1-e49a-4397-98b3-56c258c3c2d1 · outbound

This paper cites Imagenet: A large-scale hierarchical image database.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Imagenet: A large-scale hierarchical image database

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.597702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.597702Z digest=sha256:3c95c2fd3bbbb18ed3cd251992c522c261c5464ae289cb114c9f93cd3c1ae75b

Observation d926895f-322c-4c5b-83dd-5f8c77175ff2 · outbound

This paper cites The mnist database of handwritten digit images for machine learning research [best of the web].

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection The mnist database of handwritten digit images for machine learning research [best of the web]

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.601553Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.601553Z digest=sha256:3276ae09debed8ef8b1c791e550836609f96ff2b7913cacf07601001a60ccb22

Observation bf4804c5-589f-4448-92ff-063ee3ffcc7a · outbound

This paper cites Extremely simple activation shaping for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Extremely simple activation shaping for out-of-distribution detection

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.606067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.606067Z digest=sha256:4be836bcd2f19f77583fe511ae2ae77e17738e3e5fa108fd28356cca6229aa98

Observation caed2397-e0e5-4806-828f-347b526263d7 · outbound

This paper cites Towards unknown-aware learning with virtual outlier synthesis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Towards unknown-aware learning with virtual outlier synthesis

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.609844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.609844Z digest=sha256:80c7107fa8e2937ec77f6b9d7313e6559384786741568d5ab4b6f985b7831543

Observation cd7b569d-0ce5-42e8-936e-084c4a3d7463 · outbound

This paper cites Vos: Learning what you don’t know by virtual outlier synthesis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Vos: Learning what you don’t know by virtual outlier synthesis

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.613530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.613530Z digest=sha256:aa00313b195bef0796b459b36cb086360d623c5e5bebf22a97ab4734c1e51620

Observation 3b80c792-4613-4a4d-9b94-233bada536e6 · outbound

This paper cites Dream the impossible: Outlier imagination with diffusion models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dream the impossible: Outlier imagination with diffusion models

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.619233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.619233Z digest=sha256:9352091810def9b8914a91295a182a9e8eb63337384a44d54a215c66ca833c4f

Observation 59e33d97-a1cf-4d25-9a7c-c2a1df610692 · outbound

This paper cites Kennedy, Brian J.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Kennedy, Brian J

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.623770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.623770Z digest=sha256:3231f4b91b2814fcde5300d976e6f1af2afa7bcb77da2fad6b5528b814608b3b

Observation 83734d4d-89c6-43d1-93a4-c791d721944a · outbound

This paper cites Taming transformers for high-resolution image synthesis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Taming transformers for high-resolution image synthesis

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.628599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.628599Z digest=sha256:d903ee7aeb06d15b01195c1f7df3e95df87e19df0ea009bd4c443313567a42f2

Observation 53dd42fc-eb8a-4402-9c4b-099e8ccadc02 · outbound

This paper cites Detecting hallucinations in large language models using semantic entropy.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Detecting hallucinations in large language models using semantic entropy

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.632139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.632139Z digest=sha256:7fcf47fcd058e1aac52e131d521abe333a9a3a178dc41af188b8ee82046ad633

Observation ee77ec1e-8162-452e-936e-ab36312831a4 · outbound

This paper cites An introduction to roc analysis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection An introduction to roc analysis

Reference 23

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.637227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.637227Z digest=sha256:23449c50c52ce78cdfb2ce33f363b661ddaf3c5c901acef7b21f64c35742faf8

Observation 70a3b1f7-f77c-491d-88ec-182f961b4230 · outbound

This paper cites Dispersion on a sphere.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dispersion on a sphere

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.641095Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.641095Z digest=sha256:7901abde02e3b8f3882c7a9c9e53a3a0181423284cea8af4823770cbe32737f3

Observation e2e0877e-b7c4-4e99-a4e7-f2b4fd0ff09f · outbound

This paper cites Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Riemann Manifold Langevin and Hamiltonian Monte Carlo Methods

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.645638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.645638Z digest=sha256:c0e02bb8a33cefd0fea7d5cfd33aad0df92ea303827f6af4e8b230cac546ff52

Observation 14de2d84-c4f2-4df2-8675-dfba85d28e46 · outbound

This paper cites Generative adversarial networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Generative adversarial networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.649695Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.649695Z digest=sha256:ae399e8b9a86d56b7853a585b85b341a2884a5b803e2f228b0966d1951615257

Observation ad411c61-cbd9-480d-8e96-0734e7999196 · outbound

This paper cites Dense open-set recognition with synthetic outliers generated by real nvp.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dense open-set recognition with synthetic outliers generated by real nvp

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.654178Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.654178Z digest=sha256:5d356ae07e1a29c0d1a5eae423b136ad3d99db1c677011562e46f3a9b10f68ee

Observation 7dfd7adb-d4bf-49c5-9e52-6e137d31f0df · outbound

This paper cites Overconfidence is key: Verbalized uncertainty evaluation in large language and vision-language models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Overconfidence is key: Verbalized uncertainty evaluation in large language and vision-language models

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.658315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.658315Z digest=sha256:92235dbbcd3907542e7598969499cd366fef9e4b9c9480a2b23da92cc59a037a

Observation 61ee55a4-a1e9-4df6-a120-9dd98df8c459 · outbound

This paper cites Statistical analysis of nearest neighbor methods for anomaly detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Statistical analysis of nearest neighbor methods for anomaly detection

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.662455Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.662455Z digest=sha256:cfa8fb7d32a1396528ca4a5d4fa061185c9dc28f8efc4398b91dad0a487c6670

Observation 60964d03-eb88-4fd3-a30f-dcf550d6abef · outbound

This paper cites On a General Method of Expressing the Paths of Light, and of the Planets, by the Coefficients of a Characteristic Function.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On a General Method of Expressing the Paths of Light, and of the Planets, by the Coefficients of a Characteristic Function

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.666828Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.666828Z digest=sha256:66b27aca60289f988206da47fad35ceedaa0d843a6d1bb8054d59f2c7677782c

Observation 9a98a530-3ef4-4d02-b1ab-1fd22ad285a6 · outbound

This paper cites Keith Hastings.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Keith Hastings

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.670987Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.670987Z digest=sha256:4f24ab6024765afb4cf0c3452ede6f6bdf95722a44099e1fcc6c173e7ae25c1a

Observation d5c5f96d-15cd-4a74-a6d1-720d0bb6f887 · outbound

This paper cites Deep residual learning for image recognition.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep residual learning for image recognition

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.676796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.676796Z digest=sha256:e1aaf640b3ce754a06657efc4ab9e8838f7dd8f9cbc48d2113c3f37dab83e983

Observation 63966584-da8b-4752-af76-972d1f8a7ca8 · outbound

This paper cites o sch, Jonas L \.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection o sch, Jonas L \

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.442133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.681902Z digest=sha256:58cc2caa62d2780a04166b5fde745f2305aeb3e9d1412284cc738fc6c00404e7

Observation 411bff34-5957-42ae-807c-7b68204698ff · outbound

This paper cites Towards corner case detection by modeling the uncertainty of instance segmentation networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Towards corner case detection by modeling the uncertainty of instance segmentation networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.429849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.687362Z digest=sha256:cea93ad5aae358356a5cb3db0eb5cf22b92cb829be4f06103abd4c1705f685e0

Observation 78b533c0-8f0a-4f51-9e6e-e0f23298f647 · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection A baseline for detecting misclassified and out-of-distribution examples in neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.414404Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.692674Z digest=sha256:5bec94dd6258bdadc215dfe00258253465d3228a3624cb2ea13c856c454323d4

Observation 1e2f67bf-44f9-412d-8507-bbcf8fc9eefa · outbound

This paper cites Deep anomaly detection with outlier exposure.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep anomaly detection with outlier exposure

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.385615Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.697883Z digest=sha256:a22833205e84094bdcf6ee8197960433ab11f2af7c563cddc220c57df6cbd462

Observation acd6d682-77a8-4872-a8db-8b131002812e · outbound

This paper cites Scaling out-of-distribution detection for real-world settings.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Scaling out-of-distribution detection for real-world settings

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.362566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.702811Z digest=sha256:44882100f8aad2f95c2c0306e7e275885246da7d72f5329f50f10d42099e0d09

Observation b4894418-16f3-4166-8692-07fb67532ffc · outbound

This paper cites Learning probabilistic models from generator latent spaces with hat ebm.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Learning probabilistic models from generator latent spaces with hat ebm

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.341727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.706821Z digest=sha256:03f97718ca5e0a25d98e3d821a4b236435c199a680d86bd22b20fd3f291c9819

Observation 47bf87a9-45ee-4648-90c3-4ab6f91236fa · outbound

This paper cites Denoising diffusion probabilistic models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Denoising diffusion probabilistic models

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.326642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.711380Z digest=sha256:3128ae154f5350bd3929b2c367ce45eba0f196c85a25679e0c23c5745c4df18a

Observation 55715c2b-3a5a-425b-aa96-af732fad735f · outbound

This paper cites On the importance of gradients for detecting distributional shifts in the wild.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the importance of gradients for detecting distributional shifts in the wild

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.304479Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.714905Z digest=sha256:67059df128c4263e053a30cc9d7aafd3fdffdedf5aab15e4a73a52a93cf74cca

Observation f73a5fe2-53ee-476c-bf40-83638e763f33 · outbound

This paper cites Estimation of non-normalized statistical models by score matching.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Estimation of non-normalized statistical models by score matching

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.718854Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.718854Z digest=sha256:0394bab0a77aae17b8632500ef989b01afb8fe7469dab3d81ab1e0ebb28ca5e1

Observation 70038e87-da1b-422d-93e9-a247c88139cc · outbound

This paper cites DOS : Diverse outlier sampling for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection DOS : Diverse outlier sampling for out-of-distribution detection

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.273680Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.723370Z digest=sha256:6c8290678e22288fd446110b1badd87071b7ef3bf2a84d11bd67bd6f6500f142

Observation aa522c52-f2e7-4eb5-affc-2904cb2b5af4 · outbound

This paper cites Negative label guided OOD detection with pretrained vision-language models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Negative label guided OOD detection with pretrained vision-language models

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.256958Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.727186Z digest=sha256:ba1f4ef5610406e488ca0e31c3b6fca7793b993d09ad4dce1e958b9b750a3d79

Observation cb646110-7ad7-4c46-b62a-8012cdec42cb · outbound

This paper cites Cresswell, Anthony L.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Cresswell, Anthony L

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.240820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.731343Z digest=sha256:42f0c37a52d7c196c990d6a88a49deb6f4a81e25863909144e344bc99fb4f70c

Observation 7a646b92-b7cf-4ab7-be49-a9b5f719787f · outbound

This paper cites Supervised contrastive learning.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Supervised contrastive learning

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.228569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.735140Z digest=sha256:5209fd7ba620707ca922c23e7f87d1539b4d2a3538fd8e46c755c98b35ce14e8

Observation 1232bc8d-3165-4974-a37c-1ff770da5548 · outbound

This paper cites Neural relation graph: A unified framework for identifying label noise and outlier data.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Neural relation graph: A unified framework for identifying label noise and outlier data

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.214448Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.739417Z digest=sha256:ba30ba9d20f2b417ae4e010df2e4ff4fc0982bc046889aef3851cb11c63df265

Observation 489deddf-b439-4b18-b45b-0ba7b185271a · outbound

This paper cites Opengan: Open-set recognition via open data generation.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Opengan: Open-set recognition via open data generation

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.191208Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.742577Z digest=sha256:7e889a2b786536ed67dae3c9d90b65e517a1156b14a324308477c29d0afd8fe3

Observation 75d7238e-db14-440b-8e7b-c660153e4162 · outbound

This paper cites Learning multiple layers of features from tiny images.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Learning multiple layers of features from tiny images

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.746187Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.746187Z digest=sha256:1bf5653c47407640a2970bdc098f70a2abbc95bee0eabf3e143cba80170ebba5

Observation 907a8690-5411-4167-b2e1-6efdba341f49 · outbound

This paper cites Spherical hamiltonian monte carlo for constrained target distributions.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Spherical hamiltonian monte carlo for constrained target distributions

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.161206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.750316Z digest=sha256:3ab8ea41f662753492e894c323a58326cadd72c319f2deb7b981d3aa31ea3938

Observation 41385718-f72a-4491-9dc6-8153bd591852 · outbound

This paper cites Tiny imagenet visual recognition challenge.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Tiny imagenet visual recognition challenge

Reference 50

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.753994Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.753994Z digest=sha256:973170e2df034d90024c75248ad29811f8404363a2e6858ab56324008ca22279

Observation 94c6df5f-7e57-4e21-862d-f384df88318a · outbound

This paper cites Training confidence-calibrated classifiers for detecting out-of-distribution samples.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Training confidence-calibrated classifiers for detecting out-of-distribution samples

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.130632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.757854Z digest=sha256:ddcde496eab31e731e25f437d00065a6fb4fa4cfdaac349e38fbdd6057164154

Observation 7da1101b-1706-4952-ae35-1319cfc0b1a1 · outbound

This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.113800Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.762271Z digest=sha256:c513e72a1961a981f39c837a802c654c7ef8d6d555872e5e245983609d320746

Observation 08573607-59d6-45fd-8c32-f93cbaffe638 · outbound

This paper cites Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Reflexive Guidance: Improving OoDD in Vision-Language Models via Self-Guided Image-Adaptive Concept Generation

Reference 53

Resolution
verified exact
local_arxiv, observed 2026-08-10T11:19:18.169053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.767257Z digest=sha256:9cc6f4cfef7dc9fd61cad3c636e2bc4d937763dc01b4f27d7d26cbf3e4e84c28

Observation 9e6a1e9f-57ed-4d9e-80d2-b73871d382e7 · outbound

This paper cites Enhancing the reliability of out-of-distribution image detection in neural networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Enhancing the reliability of out-of-distribution image detection in neural networks

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.085987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.773234Z digest=sha256:18fce7aa7d49607be354ec418a9d51e0c9d728629dc75bc07f18feb15f1af624

Observation 25cac2f0-7b8b-4108-8d9c-a1d2e10b8241 · outbound

This paper cites Efficient out-of-distribution detection in digital pathology using multi-head convolutional neural networks.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Efficient out-of-distribution detection in digital pathology using multi-head convolutional neural networks

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.064697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.779736Z digest=sha256:b654509287dd43ff841cc7361e2584b39721bc028b91e5617ebaeabc28bdf73e

Observation 279ddb77-4bd4-40ba-a2f0-c37e6c5016c4 · outbound

This paper cites Fast decision boundary based out-of-distribution detector.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Fast decision boundary based out-of-distribution detector

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.050666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.785447Z digest=sha256:3b94dfa60ab293dc9566dfaff50d9e88f45e85285933727a98e04f4884bb125e

Observation faa9dbaa-feff-4374-9d8e-20dd967e24d1 · outbound

This paper cites Energy-based out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Energy-based out-of-distribution detection

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.034790Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.792385Z digest=sha256:33fe10ecda5ccb109a27680a40ef8bb3f5d42fcc3f469277850569eee0f99a43

Observation 83198b3e-662e-4e3f-9582-d4f9e90b9f36 · outbound

This paper cites Neuron activation coverage: Rethinking out-of-distribution detection and generalization.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Neuron activation coverage: Rethinking out-of-distribution detection and generalization

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.020013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.797694Z digest=sha256:72b4842322ada38f26df051aecbdaf8a78ede8a3101d4b54c27be0faeeef8f25

Observation 44462124-b915-45f5-9f60-deae144eecc9 · outbound

This paper cites Semantic-aware scene recognition.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Semantic-aware scene recognition

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:19.006943Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.801923Z digest=sha256:596c57591fc9128441743cd95cb74654ae96fcd1b6db10d4bda1227cd05ee663

Observation 260dba17-397c-4713-9b86-80616a35bf03 · outbound

This paper cites SGDR : Stochastic gradient descent with warm restarts.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection SGDR : Stochastic gradient descent with warm restarts

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.987820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.807321Z digest=sha256:391c3226f8ca5eb701e1676a4031bca40b06964ab1aeefd593ab6da6c5cfa5b0

Observation 371967c8-fa36-4320-9d7e-ff1090938f44 · outbound

This paper cites Learning with mixture of prototypes for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Learning with mixture of prototypes for out-of-distribution detection

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.965758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.812413Z digest=sha256:3241a0bbe03f367e1cda35ce1987053a667f541ef3c98a7df3cae3ca5fe7c549

Observation 50eee983-dcfe-4443-a492-39c4b55dc712 · outbound

This paper cites On the generalised distance in statistics.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the generalised distance in statistics

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.950275Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.816306Z digest=sha256:c4a2e231a66311e5a2bd201e259b552ec71ab37b9f7c2e40f543f54780de4d35

Observation f824f57e-5fb7-4a6b-beaa-865ded1da8d3 · outbound

This paper cites Foundations of statistical natural language processing.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Foundations of statistical natural language processing

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.938154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.820925Z digest=sha256:10265e1779f83b2a4d921915d12ba96ad7266890022b8a5a029955362707719b

Observation 6b723e3d-be69-4a61-90f3-38ee906bc6ea · outbound

This paper cites Directional statistics.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Directional statistics

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.927144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.824722Z digest=sha256:b99d014e743696b65c01a00ea5b356a1ed91f062ec0f0176d72ffd8ee751e917

Observation 0279f039-a633-44bd-83a2-046e6a4dd5e1 · outbound

This paper cites Equation of state calculations by fast computing machines.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Equation of state calculations by fast computing machines

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.914269Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.828871Z digest=sha256:8cacdf553fc590c332410c9cdd06e5b167c012851b88b98befe533a6cb571482

Observation b8a798f3-239b-4901-9dd6-76ea7f365716 · outbound

This paper cites Poem: Out-of-distribution detection with posterior sampling.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Poem: Out-of-distribution detection with posterior sampling

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.901847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.832229Z digest=sha256:e44f1bb237ab3e296e8a54084f3317ea4138489c146e6953392974f1693cb0d1

Observation 4ece1cdc-99ee-461e-854b-617ce950a621 · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 a.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 a

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.883874Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.835886Z digest=sha256:a184538ec3b2d3e4aebda87ccfe3bc30322578e44b940bf3cb85a68f1c1b7929

Observation dfb3db77-c91f-4904-9399-3b713558c089 · outbound

This paper cites How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 b.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection How to exploit hyperspherical embeddings for out-of-distribution detection? In Proceedings of the 11th International Conference on Learning Representations, 2023 b

Reference 68

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.866140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.839696Z digest=sha256:651d4ce67023a6f815ced0f887fa093c7606244ecfe5373f7a1b7881cd54cf6b

Observation 9af2c99a-ccc3-4813-9f01-8e2dd1f36c9d · outbound

This paper cites RODEO : Robust outlier detection via exposing adaptive out-of-distribution samples.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection RODEO : Robust outlier detection via exposing adaptive out-of-distribution samples

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.852465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.842982Z digest=sha256:aa4b92e5bc0dd958b1110e345e6f77f0c222d8c3ee7661b9421d100dfd84ff97

Observation 53b5675f-2ffd-45d3-8a37-9220970ac2b8 · outbound

This paper cites Coresets for data-efficient training of machine learning models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Coresets for data-efficient training of machine learning models

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.840860Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.846321Z digest=sha256:6bb46d2f0913fd69b98cd56fe1cd54a453ea4ddd0520e3b11d637a77115591c0

Observation f1016327-8cba-41e1-a806-e16fd46cccfd · outbound

This paper cites Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models

Reference 71

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.849712Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.849712Z digest=sha256:ca6dbd9e9e594b9ac0d43e1232511dd50d68237c0923e7f2c9a31c5b7b18cb46

Observation 72ce3a3c-f50c-4590-802e-12ded9745c24 · outbound

This paper cites Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Out-of-distribution detection and generation using soft brownian offset sampling and autoencoders

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.829454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.855578Z digest=sha256:5f5ea55888786f2930fa617cd7000c5345ffb6c4f5372cee67f1f97d0bac2dac

Observation feac8628-3369-4042-9f35-4be4e8e1ed8e · outbound

This paper cites Probabilistic inference using markov chain monte carlo methods.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Probabilistic inference using markov chain monte carlo methods

Reference 73

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.816035Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.860448Z digest=sha256:0d8faf1428d09ad3db7736ac596a5c6b3f8a7c9adaa13a7d8b05e2ba881c17a6

Observation 320d2187-c335-4483-8904-6ced615ba734 · outbound

This paper cites Reading digits in natural images with unsupervised feature learning.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Reading digits in natural images with unsupervised feature learning

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.801381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.866731Z digest=sha256:cfd426d72c958ea1d714cd2f17dd69777e4bc76cdba13e18dbbe152d5f69ab50

Observation ea31f8da-f981-4d07-b877-48624f58103c · outbound

This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.787020Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.873005Z digest=sha256:c2a8f07e4c5b3ebfc530cef3eb5209b3bccc1916b40a61017a337dc21be54fdd

Observation eee48371-c121-4686-a55e-6c61ff47f68e · outbound

This paper cites On the powerfulness of textual outlier exposure for visual ood detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection On the powerfulness of textual outlier exposure for visual ood detection

Reference 76

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.769116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.877863Z digest=sha256:1a1e8a5556bc337c91c91f2a1878d486fbcbfe183fab311930170ef4d56b93f4

Observation d81001e3-7d98-44d8-bed6-950a005329a5 · outbound

This paper cites Generating high fidelity synthetic data via coreset selection and entropic regularization.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Generating high fidelity synthetic data via coreset selection and entropic regularization

Reference 77

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.748988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.882492Z digest=sha256:bb5ac79df8f723c5556997ca3ac0ef4bd15757f31ec15abce3e2cd696e8f5e7e

Observation 6e22597d-5f9b-438c-b940-abd087d738b7 · outbound

This paper cites G2d: Generate to detect anomaly.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection G2d: Generate to detect anomaly

Reference 78

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.736233Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.888229Z digest=sha256:1ce11ad6554ca25478fe6f2860479234c36e3ecd6cc451768f24b6b874ca5d59

Observation 4224bece-cc49-4e21-b7dc-622e13166c67 · outbound

This paper cites Remarks on Some Nonparametric Estimates of a Density Function.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Remarks on Some Nonparametric Estimates of a Density Function

Reference 79

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.723934Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.893922Z digest=sha256:94439c916a09b002d8e37de5840a2bcaf3205876f078f357e579507b29c052e2

Observation 2b41ca66-4fa9-4023-8597-57cabd1966c5 · outbound

This paper cites Ssd: A unified framework for self-supervised outlier detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Ssd: A unified framework for self-supervised outlier detection

Reference 80

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.699715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.901567Z digest=sha256:81f6160352b7f60503c70f9fd453605cb90c3b9752b8bc668677fbc0acdc3c4c

Observation 25ebf7c5-a551-4d2e-be67-f883b03dc11c · outbound

This paper cites ScVLM: Enhancing Vision-Language Model for Safety-Critical Event Understanding.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection ScVLM: Enhancing Vision-Language Model for Safety-Critical Event Understanding

Reference 81

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.909016Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.909016Z digest=sha256:b4724a859eba136feaed5cf81d415ab2cdf8e2a5696866f52d7bf9757de68e7e

Observation 24dd173d-860e-457f-891b-444d76db3e45 · outbound

This paper cites Score-based generative modeling through stochastic differential equations.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Score-based generative modeling through stochastic differential equations

Reference 82

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.664022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.913633Z digest=sha256:3624302a0e120c8874461191ec06694731be169fd506cf1b07a382ca0c713a80

Observation 11a6c37d-eef0-4200-8601-0bf771cb19a2 · outbound

This paper cites Dice: Leveraging sparsification for out-of-distribution detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Dice: Leveraging sparsification for out-of-distribution detection

Reference 83

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.635281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.918271Z digest=sha256:46e649a1839758cd5f7cce73fb2c95516cf86a69ca2453461b218a2ce7cb3114

Observation d6bfc2b4-8222-4623-beb2-83d46ba8a619 · outbound

This paper cites React: Out-of-distribution detection with rectified activations.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection React: Out-of-distribution detection with rectified activations

Reference 84

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.613444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.922126Z digest=sha256:f4aba86947a3adf5158290677f753cb4834560fd4cf811905ac7fee1d395633f

Observation 7cb297c6-4944-446d-be50-db8c155ff75d · outbound

This paper cites Out-of-distribution detection with deep nearest neighbors.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Out-of-distribution detection with deep nearest neighbors

Reference 85

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.590016Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.926004Z digest=sha256:baf7560e51cc9121a0c301aee6d895785a946967ea75df2b0f1fe772f75f19f5

Observation f1d92d8a-3fa4-43ec-8419-d8a8a51f8cd2 · outbound

This paper cites Csi: Novelty detection via contrastive learning on distributionally shifted instances.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Csi: Novelty detection via contrastive learning on distributionally shifted instances

Reference 86

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.567004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.931332Z digest=sha256:c58b43346d7f34304d3252d88e906ea304ac1d393119ab748a8e7467a05e7bd9

Observation 65f8bc89-00db-4a28-beeb-a82b5598b282 · outbound

This paper cites Non-parametric outlier synthesis.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Non-parametric outlier synthesis

Reference 87

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.552523Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.934984Z digest=sha256:4c8e38a6e55a4914c8b154ee8c4a7cd75774b0e622386cc701e420cf3eff0631

Observation 9a6d7691-bf1f-4623-b374-7e7f7e1f7816 · outbound

This paper cites Trust issues: Uncertainty estimation does not enable reliable ood detection on medical tabular data.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Trust issues: Uncertainty estimation does not enable reliable ood detection on medical tabular data

Reference 88

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.537801Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.938548Z digest=sha256:cc711fa535bf7d93895f407bac5e44f448e3e777a819cf7b93f5230e1d3288f2

Observation f0dcbc08-2d4a-4eb2-8ca0-a6f1523dfad4 · outbound

This paper cites Visualizing data using t-sne.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Visualizing data using t-sne

Reference 89

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.941698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.941698Z digest=sha256:c4b733d2b31db5e1c5b766356a9bf08eed794a8ad7faca4191ac5564e00357d5

Observation 9bc5f282-21d2-44ad-8cfb-3391478b8f0a · outbound

This paper cites The inaturalist species classification and detection dataset.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection The inaturalist species classification and detection dataset

Reference 90

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.512889Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.945221Z digest=sha256:f8b88a92feac76e2038ea658fbee2f9c784d26417b0b83fef745fb3ab860f661

Observation c6a60f5b-3972-418a-beb0-a8c889d808c6 · outbound

This paper cites Vim: Out-of-distribution with virtual-logit matching.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Vim: Out-of-distribution with virtual-logit matching

Reference 91

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.498845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.949237Z digest=sha256:c9656eb467c0cab3e3f11d2f9a81493a4eff3b4067d1381f3ae9552ebe3eddf8

Observation fae8141d-09be-4e94-aa5d-16f42c4eca3b · outbound

This paper cites Out-of-distribution detection with implicit outlier transformation.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Out-of-distribution detection with implicit outlier transformation

Reference 92

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.483720Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.953289Z digest=sha256:dbdef767f05cb2e962ee50663517134bccfc5cbf4c7552064b08b86d88cfd71c

Observation 40f2b8de-9514-4625-8d8f-3eca3113aa7d · outbound

This paper cites Mitigating neural network overconfidence with logit normalization.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Mitigating neural network overconfidence with logit normalization

Reference 93

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.465688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.957168Z digest=sha256:a56a43f974756ba345128294005f91bc034d31828f7302a90e3b58e6bf7505af

Observation da27c876-b4a3-48e7-87f9-02ce17933ae3 · outbound

This paper cites Bayesian learning via stochastic gradient langevin dynamics.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Bayesian learning via stochastic gradient langevin dynamics

Reference 94

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.450515Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.962955Z digest=sha256:1be45a3ee799254222bfca77684314361b6ea89400ca4a0da94b9e90f15e940d

Observation ac0e8621-b79e-4d5f-a5a6-0b092cc5345b · outbound

This paper cites Contrastive Training for Improved Out-of-Distribution Detection.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Contrastive Training for Improved Out-of-Distribution Detection

Reference 95

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.968180Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.968180Z digest=sha256:bab6960607d33ed0a99e70ebb0896678a1e29bb95bb7c89dacb910745602ae5c

Observation 7b36dea6-5a09-4988-acbd-dcfbc47ca02b · outbound

This paper cites Sun database: Large-scale scene recognition from abbey to zoo.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Sun database: Large-scale scene recognition from abbey to zoo

Reference 96

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.436912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.973246Z digest=sha256:4beec043d0335fe452a4877ab14344b68297354c65250ac39b9d42461f613da3

Observation 8a048887-573c-4f30-92d1-cbd3c8003b9b · outbound

This paper cites Scaling for training time and post-hoc out-of-distribution detection enhancement.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Scaling for training time and post-hoc out-of-distribution detection enhancement

Reference 97

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.423387Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.977953Z digest=sha256:df9493fc60a15f1e46770cc7b4d3cc043c5dbdd01c84d27261f8f1e1c3b8b93a

Observation 4ec8c8cc-2f38-4662-8976-ece236805382 · outbound

This paper cites LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection LSUN: Construction of a Large-scale Image Dataset using Deep Learning with Humans in the Loop

Reference 98

Resolution
unresolved
no resolver link, observed 2026-08-10T11:19:17.982433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T11:19:17.982433Z digest=sha256:d8645a286a447ff44fef89f7f65f787c101d55f30f643bd8265b3f412845e86b

Observation 23c4df4c-2e1b-4131-a6ee-30a53e84c206 · outbound

This paper cites What if the input is expanded in ood detection? In Advances in Neural Information Processing Systems 37, 2024.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection What if the input is expanded in ood detection? In Advances in Neural Information Processing Systems 37, 2024

Reference 99

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.411184Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.987696Z digest=sha256:1e7ab93838be4a434727a17c893057636c20c4a055527ce919bcc4f38385cf88

Observation da566af9-8eb4-4f7c-a199-ee18ff67c7c0 · outbound

This paper cites Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments.

Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection Mixture outlier exposure: Towards out-of-distribution detection in fine-grained environments

Reference 100

Resolution
verified fuzzy
raw_fallback, observed 2026-08-10T11:19:18.399254Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=arxiv_source observed=2026-08-10T11:19:17.993825Z digest=sha256:4d6c37cae7b51e9a1db4b5cac37c64782a53b102c7cad89ac9dfa234f1a05cd8

Pith citing papers

Observation e0eb1bc6-a2c3-46c1-9f60-a12ec6a888cb · inbound

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels cites this paper.

HamBR: Active Decision Boundary Restoration Based on Hamiltonian Dynamics for Learning with Noisy Labels Outlier Synthesis via Hamiltonian Monte Carlo for Out-of-Distribution Detection

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-13T02:17:06.696137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-13T02:13:21.564887Z digest=sha256:ec6ffd7d09fab232ff5244089f27462b928b68371cafd301554fe94efa4b6d09