Pith. sign in

Paper Citation Record · LEDGER

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset

As of 17 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2412.12864.

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

pith.paper-citation-record.v1
2412.12864 v2

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:46:26.298441Z

measured 43 of 43 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+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

43 of 43 outbound references displayed

  • verified exact2
  • verified fuzzy4
  • unresolved37
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation db376413-3e6b-4797-a63e-38bc28c7cbcb · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.017071Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.017071Z digest=sha256:4792df406fae906aaafa43eef69ef3e6d2aa3b9d9f99236e276cfaf8570bdf3a

Observation b70607f6-1188-41ee-aaa8-1632709928e3 · outbound

This paper cites \"O .; and Pfister, T.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset \"O .; and Pfister, T

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:46:27.177209Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.028134Z digest=sha256:ab5c8ca09ee0684bc7c454ea912de9185cea0e164d49437d9d41e645dab8c9ed

Observation a96379d7-f0c7-4122-b710-91ecab2c97ae · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 3

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:27.157237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.035969Z digest=sha256:1f8c5d0a6153475dd568bd3d3182fd7373e45d0ddb44a15f88919946ec34ac89

Observation 42f517a5-c64b-4df0-a460-81702663dc62 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 4

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:27.136414Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.044437Z digest=sha256:c5ab7cb016901ec36cecaa78d4e49ea8c7afb2404800021561b574e6ff831b24

Observation f9d2dbbb-9f23-4e1f-b902-e9b83005c952 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.050122Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.050122Z digest=sha256:ee2aefff9aa9d87c516a132ad5977b31c84c15ef7ad62f6818060f99a93980c3

Observation a4054367-a1f4-443b-ae52-643cf09bdf21 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.055620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.055620Z digest=sha256:a0042f7ed8d813656c05432361695966a022dc4a3b475404d0e81437090b81ed

Observation 29d54ce4-aa41-4161-bf48-e6556ce623a5 · outbound

This paper cites A.; Srivastava, A.; Liu, X.; and Van Dooren, P.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset A.; Srivastava, A.; Liu, X.; and Van Dooren, P

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:46:27.089196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.062066Z digest=sha256:a6b29464ee2318549ae4c7119e41f00c1451eb75827cf98ab026c5b35459e979

Observation 3bcca053-7782-43e0-bfc0-187697145416 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:27.069060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.067513Z digest=sha256:a0ae2bbf6e70eacfd2226afdb29bda88c1a281da6a63e24658709f05d10864e4

Observation 98120b29-5bb5-4d99-892d-faa5ffcbf9ee · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:27.050905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.072655Z digest=sha256:45222fb985d067345a745b858c375d2ba2158417697d49232cf61bb93d9dff34

Observation a02a591a-055b-4bce-aa89-5afbea177cda · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.077953Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.077953Z digest=sha256:b2eec59ef2754903e28276366ef698a1bf88f709d70c071c6897bb2a9a4e92c1

Observation 44419203-473d-4538-a32b-d9db4c2eb5db · outbound

This paper cites Why do tree-based models still outperform deep learning on tabular data?.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Why do tree-based models still outperform deep learning on tabular data?

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.082903Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.082903Z digest=sha256:ce0aa700131d06800b3d1318e291f697d8c9ba59db933efe3bb8e899fb57bc48

Observation 9d5f49b8-12e6-4a67-bcc3-c6fa7501fa88 · outbound

This paper cites TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TabGNN: Multiplex Graph Neural Network for Tabular Data Prediction

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.089515Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.089515Z digest=sha256:171bf9d594c11780199075a40938c6cf5d56229e159c0e3b06b5089769a17e2c

Observation 136c117d-ba78-429a-9bf7-98a12d753113 · outbound

This paper cites TAPAS: Weakly Supervised Table Parsing via Pre-training.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TAPAS: Weakly Supervised Table Parsing via Pre-training

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.095914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.095914Z digest=sha256:f90fbb52c11caaf23f2b1ff53488809eb3f1b32291dbb93074877c6ce0bc8476

Observation 0b6821bb-788b-43d1-847a-477554b124bf · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:27.009770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.102237Z digest=sha256:77069ab074eb0332afb3b180122a27d8eb885afd05cb603673d8bd61f1dce1c7

Observation 806c8524-f103-46b8-9011-bfc5c83e8ed8 · outbound

This paper cites TabTransformer: Tabular Data Modeling Using Contextual Embeddings.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.109488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.109488Z digest=sha256:ea6180b87d5032639d1b26c6018d102434a40ad69b36df255212b43909229356

Observation e8d2f249-1f5c-4cd2-bf40-40bd0479d3e0 · outbound

This paper cites TABBIE: Pretrained Representations of Tabular Data.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TABBIE: Pretrained Representations of Tabular Data

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.116509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.116509Z digest=sha256:9c5026c4a10716538b99a2fcc2ef639e03d58cd4f414a122289e8e3fc465812e

Observation 90598443-2c01-4ad1-8ab2-2044be8e641c · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 17

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.988362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.123438Z digest=sha256:dbafe76840eacd79020c2bd262aa926b5a04ea975cba45a09f4e07498b3a507c

Observation d21fc946-e340-4ced-8ff3-2b279b07d7cd · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.967590Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.134371Z digest=sha256:e3a64cf84f211d9e2af73e51afe4a79857b563863dc68ba311d5a7e1bbdf8c87

Observation e7fc0fae-02d0-416e-a168-49e53a5d1a1e · outbound

This paper cites N.; Rainforth, T.; and Gal, Y.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset N.; Rainforth, T.; and Gal, Y

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:46:26.948130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.141384Z digest=sha256:75a1b6107813344b1d83e1287fab0ac2ab8fc8104cb280691ff0ddc79b3f3be1

Observation 817de43a-2fd5-41de-96be-f73e36489513 · outbound

This paper cites Latent Retrieval for Weakly Supervised Open Domain Question Answering.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Latent Retrieval for Weakly Supervised Open Domain Question Answering

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.148375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.148375Z digest=sha256:5f8f86c276c18617f4bac6b81a2aa5b8f10add688ea3591f1a7bfc7f94a4d32f

Observation 5bbc86d8-fc2f-4bf6-8f7f-6a7362f391a8 · outbound

This paper cites \"O .; Loeff, N.; and Pfister, T.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset \"O .; Loeff, N.; and Pfister, T

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.154244Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.154244Z digest=sha256:e9692f8da0035ec89474bd5e78ca2c73825bc08e34314472f1fed05c0a81e30b

Observation cb601fb0-fe3e-4d42-82e1-e628a45037e5 · outbound

This paper cites Decoupled Weight Decay Regularization.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Decoupled Weight Decay Regularization

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.160006Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.160006Z digest=sha256:77eb90923e6429fe00fd2f8dcc08c58d1934b4348437f94b9001633962667895

Observation 322afa16-cd7f-447c-a034-7d192400819e · outbound

This paper cites Grassmann angles between real or complex subspaces.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Grassmann angles between real or complex subspaces

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:46:26.474787Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.165689Z digest=sha256:f8814f0254af72a6cdd3706cccb7655597fe19fe4c550268d0e33864b482dffa

Observation cd1d633e-af4a-4782-a652-f61d726c343c · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.913697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.172229Z digest=sha256:8a4044181670ed5b61f2e1b7e82aa717f35a02dce42208ca14be3a976ec8d911

Observation 09c3f5c5-a46d-4d41-a543-202314328fa0 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Representation Learning with Contrastive Predictive Coding

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.177999Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.177999Z digest=sha256:0e9a5ff3ffb11af673a48e7e6b95cc24b407ae96d7d25541d690babc3f21b07a

Observation 07407b12-9ee9-4c50-9eae-2b7662ec7417 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 26

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.895382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.184312Z digest=sha256:b5a931af86a54df14dde92f8dbad403571d45995b92a8b483f6930f57d056f5d

Observation 753c1f74-ae20-4cf1-a378-64d2f45e3d7f · outbound

This paper cites V.; and Gulin, A.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset V.; and Gulin, A

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T13:46:26.877857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.191765Z digest=sha256:dc5e041025c3a5fd479a3f064aa096b66cd17d8ae3b7d861f6157fc9ea502b3d

Observation 008b43c3-a74f-4deb-b75a-8b091fce78a7 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.859596Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.200602Z digest=sha256:bb90920a2a70e6aaa7e1c4c1da353a48a6591772add561255564ebe32c5faf39

Observation 3883e4e8-6238-4a19-8f11-58488e0dbc06 · outbound

This paper cites Strong Baselines for Neural Semi-supervised Learning under Domain Shift.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Strong Baselines for Neural Semi-supervised Learning under Domain Shift

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-08-11T13:46:26.424774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.206704Z digest=sha256:87715b5595a5e73149595b547908a537bdacfbdad7dccd415a951feb49124960

Observation 611f7554-d93b-4194-9079-ada1f73e919a · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 30

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.839717Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.212938Z digest=sha256:cb9ec3ab68f3b0e05f78f73c86108cf0bfa3cee881ee1b0f6b31470d45b1b536

Observation b6d18639-1580-4f93-a4c8-f703dda1403a · outbound

This paper cites SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.218826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.218826Z digest=sha256:4833ea26226553473dbf46eac27ca956a515c2eb9835c8817edde7987f96db80

Observation 33f63e51-930a-4c5e-a1bf-6f1f584e7cb4 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.226123Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.226123Z digest=sha256:482320532a0f4d61e16a4ad96847199f468af5e68f2b4deb9ffa2182ae9e35ee

Observation c01fcb83-9063-4134-b354-4b911e2f6667 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 33

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.804767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.232046Z digest=sha256:13777a41a0fba650418b48b9bc39e3815ecdd022e6e0995ef9614f759f06f915

Observation 685cbb0f-b91c-4201-ad59-4e4193308d47 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.782862Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.238119Z digest=sha256:ecd10163df4f6fa2866249854509c6e4d43e7b4b4c38ee4d14348ed3a83fdf83

Observation ee38dfa3-9f83-4a66-a86a-bbaac9f72674 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 35

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.755459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.244358Z digest=sha256:1c933c6ff40d14b278a0ed5f2444df92db521f2451666dafe281db54bd217c6f

Observation 4ee72163-439a-43fa-b61c-2b8ef49b25df · outbound

This paper cites N.; Kaiser, L.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset N.; Kaiser, L

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.249980Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.249980Z digest=sha256:641c619d7cad3f53123300585994ba6c5d223ce5e8f1f80fa4e402ff8c517c4f

Observation 54b8a4a6-dc30-4b88-8dcb-32b47f49add3 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 37

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.714690Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.257642Z digest=sha256:2da5bf221d9be1bee3e8403d9536feb7881c234a28737258e51ac34eedfe3dfa

Observation f20c5fa8-4068-4bf0-9991-dd8b31c22dd3 · outbound

This paper cites TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset TaBERT: Pretraining for Joint Understanding of Textual and Tabular Data

Reference 38

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.263454Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.263454Z digest=sha256:dc94292a78083ed07e92c5f3b3cf2ab91a89debf0b3c3504931e73ce1b503e33

Observation 90d159c9-1bed-413b-b8d6-0391d9903070 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 39

Resolution
unresolved
raw_fallback, observed 2026-08-11T13:46:26.691304Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=arxiv_source observed=2026-08-11T13:46:26.271739Z digest=sha256:9536bd0c819a5e859e3ec2c28c9a1e84febca3343fe09367d7ef10a5e0fd29b3

Observation 6f8782ec-7a20-44a0-be59-2fc5ec600b72 · outbound

This paper cites Barlow Twins: Self-Supervised Learning via Redundancy Reduction.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Barlow Twins: Self-Supervised Learning via Redundancy Reduction

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.277338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.277338Z digest=sha256:76f3d503454b19f3bea9f2e40d67bd20bede496e6a3c8e2252676e54382479fd

Observation 0c73d996-6a37-44d9-9f64-47d211a62c17 · outbound

This paper cites an unresolved cited work.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.284099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.284099Z digest=sha256:9c965bcbb1ae8a0712c675833ae0bf37ddd25453b0922aa11e76593541c9adc0

Observation aff01229-69b7-4cec-9b92-cc73475c3a01 · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset , " * write output.state after.block = add.period write newline

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.292329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.292329Z digest=sha256:d891e39d7ea823a5715dbfc422721cb34fa01ac732fd3eb21c6f749a58d52a9c

Observation f5fbbb5f-d122-4dec-b187-e9ebec96e7d4 · outbound

This paper cites write newline.

Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset write newline

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-11T13:46:26.298441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T13:46:26.298441Z digest=sha256:e3136651f9d02f70e7f68d9188079e9c55aa4ff50b1b0e48f9bf972cd7ad3eac

Pith citing papers

No inbound Pith citation observations are available.